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Stings like a bee: Death of beloved Muhammad Ali mourned worldwide
By Linda Robertson Miami Herald
Muhammad Ali, the heavyweight boxer who transcended his sport and redefined what it means to be a hero during a turbulent time in American history, died Friday night in a Phoenix hospital.
Ali, who was 74, had been afflicted with Parkinson's disease for three decades. The fighter known for speaking in the same cadence with which he jumped rope, who used to spout poetry and "float like a butterfly, sting like a bee" was unable to talk and had difficulty walking in recent years.
But even in silence Ali was a magnetic figure, beloved in all corners of the world, from the Philippines, where he fought Joe Frazier in the "Thrilla in Manila" to Africa, where he fought George Foreman in the "Rumble in the Jungle," to Miami Beach, where he trained at the 5th Street Gym and won the first of his three titles in 1964, thrusting his gloves in the air and shouting, "I shook up the world!"
As Ali aged, his stature grew, and it became harder to separate myth from man, although he maintained a simple, humble lifestyle that included prayer five times a day. He spent most of his time at home in Paradise Valley, Ariz., and also had homes in Louisville, Ky., and Berrien Springs, Mich.
In his 20s, when the United States was in a state of racial and political upheaval, when the country was riven by marches, riots and protests, Ali molded an era by breaking the mold of the black athlete. He was an outspoken advocate of black power and religious freedom.
Despised by many Americans in the mid-1960s for joining the radical Nation of Islam, refusing to be drafted into military service for the Vietnam War and challenging the white establishment, Ali came to represent the value of self-love.
"Ain't I pretty?" he used to say, then reel off a rhyme he composed. Ali's physical beauty and sharp humor imbued him with a charisma that made him irresistible to both boxing fans and those who knew nothing of the brutal sport. He rapped and danced and punched his way to stardom.
"I outwit them and then outhit them," he said
Even to his last days, he was addressed as "Champ." He called himself "the greatest of all time," and eventually he was referred to as "The Greatest," and by the acronym GOAT.
"I learned something from people everywhere," Ali once said. "There's truth in Hinduism, Christianity, Islam, all religions. And in just plain talking. The only religion that matters is the real religion – love. I'm color blind. I love people. Black, white, rich or poor."
In an appearance as memorable as his title triumphs, a trembling and stone-faced Ali was the climax to Opening Ceremonies of the 1996 Atlanta Olympics as he lit the flame then raised the torch with his unsteady arm, inspiring a new wave of adoration and respect for his undaunted spirit.
Born Cassius Marcellus Clay Jr. on Jan. 17, 1942, in Louisville, Ali was named after his father, a signmaker and house painter, who had been named after a 19th century Kentucky slave owner turned abolitionist. His mother, Odessa O'Grady Clay, was a domestic worker.
Ali was admitted to the hospital Thursday with a respiratory ailment. He was having trouble breathing. Parkinson's complicated his treatment. People in an advanced stage of the disease have difficulty coughing and swallowing and are prone to pneumonia.
Ali, married four times, is survived by his wife, Lonnie, and seven daughters and two sons. He survived his trainer, Angelo Dundee, his cornerman, Drew "Bundini" Brown and his opponent in three epic bouts, Frazier.
In retirement, he dedicated himself to humanitarian causes, world peace, the Muhammad Ali Parkinson Research Center in Phoenix and the Muhammad Ali Center in Louisville. The Muhammad Ali Childhood Home Museum – the renovated house where he grew up – opened last month.
Despite his frailty, Ali made numerous public appearances every year, including at the unveiling of the massive 800-page Taschen biography entitled "GOAT" in Miami Beach, the opening of the new 5th Street Gym in Miami Beach and the Miami Marlins' opener in their new stadium. Recently, he attended a Celebrity Fight Night fundraiser for Parkinson's research. He also released a statement criticizing presidential candidate Donald Trump for his comments about banning Muslims from traveling to the U.S.
As a boxer, Ali was an innovator. No previous heavyweight had been so quick, elusive and graceful. But he could take punishment, too, as he proved when he knocked out Foreman for the title in 1974 in Kinshasa, Zaire, utilizing his "rope-a-dope" tactic.
Ali was the first to win the title three times, first in 1964 against Sonny Liston and last in 1978 against Leon Spinks. His pro record was 56-5.
Ali was renowned for his courage inside and outside the ring. He slugged it out with Frazier for 14 rounds in Manila and he smashed stereotypes about what was expected of a black man in a slowly, painfully desegregating society.
"Ali helped raise black people in this country out of mental slavery," former Yankees slugger Reggie Jackson once said. "The entire experience of being black changed for millions of people because of Ali."
He made controversial decisions and remained steadfast in his beliefs despite harsh criticism, racist threats and a three-and-a-half-year suspension from boxing during his prime after he was convicted of draft evasion. Ali argued that he was a conscientious objector to the Vietnam War. In 1971, the U.S. Supreme Court overturned his conviction.
"Where do you think I would be if I didn't shout and holler? I would be poor and down in Louisville washing windows, shining shoes or running an elevator and saying, 'Yes, suh' and 'No, suh,' and knowing my place," Ali said of his activism."Why does the white man care if I hate him anyhow? He's got everything going for him — White Swan soap, Tarzan is white, Jesus is white, White Owl cigars, the White Tornado, Snow White and her Seven Dwarfs, the White House. Angel food cake is all white, but Devil's food cake is black!"
After Ali's exile, he began to gain acceptance from Americans who had resented him. Times were changing. Ali had been ahead of those times in his commitment to the antiwar movement and the abolishment of Jim Crow laws.
Ali was diagnosed with Parkinson's at age 44, three years after his 1981 retirement. He first disputed the assumption that the disease was caused by the cumulative head trauma of his bouts. His longtime physician, Ferdie "The Fight Doctor" Pacheco, quit Ali's corner in 1977 because Ali refused to hang up his gloves despite early symptoms. Then Ali sustained further neurological damage in his last two fights, when he was pummeled by Larry Holmes and Trevor Berbick.
"That was criminal," Pacheco said, blaming the "Ali circus" for allowing him to fight. "I told him a long time ago that he would suffer. To be a great talker like he was, to lose your power of speech is very, very hard."
In retirement, Ali's increasing infirmity enabled him to be embraced again, as people could see themselves aging in him.
"He reminded us of our youth, our lost youth," boxing writer Bert Sugar said.
Ali said he learned to bob and weave as a kid, when he had his brother Rudy (now Rahman) throw rocks at him.
"The first person I ever knocked out was my mom," said Ali, who accidentally hit his mother in the mouth when he was a baby. She lost two teeth.
His first prediction was said to be made when he was 12 and told the Louisville Courier-Journal, "This guy is done. I'll stop him in one."
When Ali was 13, the lynching of Emmett Till in Mississippi had a profound impact on him.
Ali won the gold medal at the 1960 Rome Olympics, then returned home to turn professional. He later lost his medal, but originally claimed he threw it into a river in a fit of anger: "The man said, 'We don't serve Negroes.' I said, 'I don't eat them, either.' They shouted, 'Boy, get out!' I looked at my gold medal and thought, 'This thing ain't worth nothing; it can't even get me a hamburger.' "
The 11 wealthy businessmen of the Louisville Sponsorship Group paid for Ali to hook up with trainer Dundee at the gym Dundee and his promoter brother Chris owned at the corner of 5th Street and Washington Avenue in Miami Beach.
Ali's Miami years, from 1960 to 1966, were transformative for him and the city he made his home.
He began his partnership with Angelo Dundee. He won the heavyweight championship. He announced his conversion to Islam. He changed his name to Ali. He declared his opposition to the Vietnam War from the front steps of his Allapattah house.
When he arrived, he was shy, determined, 18-year-old Cassius Clay – a handsome face. When he departed, he was the electric, polarizing Muhammad Ali – a man at the epicenter of change in American society, and the most recognizable face in the world.
In segregated Miami, he first lived in a "colored" motel in Overtown, the Sir John. Dundee ran a tab for him at the Famous Chef restaurant. Ali jogged four miles over the MacArthur Causeway to the 5th Street Gym and was occasionally stopped by police who suspected he was fleeing the scene of a crime. At Burdine's he was not allowed to try on shirts lest his black skin would soil the fabric.
He prayed in storefront mosques. He met the cornermen of his career. He enchanted his entire neighborhood. He posed for a famous set of photos by Flip Schulke in which he pretended to be "training" by shadow boxing underwater in a swimming pool even though he couldn't swim. He got his hair cut at Sonny Armbrister's barber shop, where he joined in the custom of composing rhyming verses.
"Those were the best, purest years of his life," Dundee once said. "He was such a sweet kid. I had so much fun with him. That's what I learned from Muhammad: Every day is fun."
When Ali – then Clay – moved into the aqua house on Northwest 15th Court, the local kids gravitated to him. He raced them in the street and paid them if he lost. He drove them to school, the beach and Dairy Queen in his new, tomato-red convertible. He set up a film projector in his yard and invited neighbors to watch home movies and clips of his fights. He loved to perform magic tricks – and would continue to do so decades later when his hands shook.
"He exuded a charisma I wanted to have," said Nelson Adams III, a Miami physician who grew up in the house next to Ali's. He also admired Martin Luther King Jr., John F. Kennedy and Bill Russell during those days. "He showed me what you can achieve if you stand up for what you believe in."
The 5th Street Gym was a steamy, scruffy, termite-infested loft above a liquor store and drug store. Dundee was afraid if his boxers jumped rope too hard they would fall through the rotting floorboards.
It was there that Ali met Pacheco, a white doctor who ran a clinic in Overtown for 20 years until it burned down during the McDuffie riots.
Ali honed his schtick as poetic showman.
"The mouth on that kid – a promoter's dream," said the late boxing historian Hank Kaplan. "He asked me to help him make a card with his picture on it that he could hand out everywhere. I asked him how he wanted me to label the card. He said, 'I am the greatest.' He was creating a buzz and a persona. Boxing – and sports – would never be the same."
As the underdog, Ali trained for his title shot against the menacing ex-con Liston, a succession of celebrities came by to watch the brash young fighter — including the Beatles during their U.S. tour, and they posed for the famous "domino punch" photo in the ring.
The media portrayed Ali as nutty and naive, all hype and no heft. Ali harangued Liston constantly with taunts and poems:
"Now Clay swings with a right, what a beautiful swing,
And the punch raises the Bear clear out of the ring.
Liston is still rising and the ref wears a frown,
For he can't start counting til Sonny comes down.
Now Liston disappears from view, the crowd is getting frantic
But our radar stations have picked him up; he's somewhere over the Atlantic
Who would have thought when they came to the fight
That they'd witness the launching of a human satellite?
Yes, the crowd did not dream when they laid down their money
That they would see a total eclipse of the Sonny."
Ali predicted he'd take Liston out in eight rounds. During the weigh-in at Miami Beach Convention Hall, Dundee played straight man to Ali's act. Ali tried to unnerve the scowling Liston by ranting, raving and rhyming. Liston told him to shut up so people wouldn't think he was a fool. Joe Louis' wife told Kaplan: "That boy needs a psychiatrist."
On the morning of the fight, Feb. 25, 1964, the New York Post ran a column by Jackie Gleason: "I predict Sonny Liston will win in 18 seconds of the first round, and my estimate includes the three seconds Blabber Mouth will bring into the ring with him."
Gleason was among those ringside, along with Sammy Davis Jr. and Ali's new friend Malcolm X.
As the fight unfolded, Liston stalked, Ali juked. At one point, Ali got something in his eyes, was blinded, suspected subterfuge and threatened to quit. But Dundee sponged his eyes furiously and pushed him back out, shouting, "Keep dancing! Hit and run!"
Ali landed punishing blows in the sixth round. Liston sat on his stool, proclaimed, "That's it," and surrendered. Ali was champion by TKO.
"I am the king!" Ali screamed. "King of the world! Eat your words. Eat! I am the greatest."
King sent Ali a congratulatory telegram. Ali celebrated by eating ice cream with Malcolm X.
After the upset victory, Ali declared his Muslim faith and his membership in the separatist Nation of Islam. The sect's message of power over passivity appealed to Ali. Malcolm X declared that Ali would "mean more to his people than any athlete before him."
On March 6, Nation leader Elijah Muhammad announced during a radio speech that he was giving Cassius Clay the Muslim name Muhammad Ali.
"I said, 'OK, Muhammad, but what are we going to rhyme that with?' " Dundee said.
"Cassius Clay is my slave name," Ali said. "Muhammad means 'worthy of praise' and Ali means 'most high' and I insist people use it.
"I don't have to be what you want me to be. I am America. I am the past you won't recognize, but get used to me. Black, confident, cocky. My name, not yours. My religion, not yours. My goal, my own. Get used to me."
Ali married Sonji Roi on Aug. 14, 1964. She accepted Islam at Mosque No. 29 on Northwest 17th Ave. Captain Sam Saxon had brothers in bow ties from the mosque serving as cooks and bodyguards for Ali. Sonji resisted Muslim rules.
"She'd come over to my kitchen, as did some of the fellows, and say, 'I'm so tired of those bean pies. Can I have some pork chops?' " neighbor Naomi Adams recalled. "She'd smoke a cigarette and I'd spray her with perfume to mask the smell."
Within a year, Ali had the marriage annulled in a Miami courtroom, where he complained that her clothes were too revealing.
On Feb. 17, 1966, reporters came to Ali's Allapattah house to tell him his low draft test score had been reclassified and that he was now eligible to be drafted for the Vietnam War.
"I ain't got no quarrel with them Viet Cong," Ali said. He refused to be inducted, citing his religious beliefs. He was stripped of his title and banned from boxing.
"You want me to do what the white man says and go fight a war against some people I don't know nothing about — get some freedom for some other people when my own people can't get theirs here? No Vietnamese ever called me Nigger.
"Why should they ask me to put on a uniform and go 10,000 miles from home and drop bombs and bullets on brown people in Vietnam while so-called Negro people in Louisville are treated like dogs."
Ali was maligned by the media (they continued to call him Clay) as an impudent egomaniac, and now he was unpatriotic, too. He was criticized by his idol, Joe Louis, and by Floyd Patterson.
But Ali's words resonated with the younger generation. They saw him not only as a fighter for titles but for peace and equal rights.
He gained respect when he won his case and returned to the ring.
The first of the three Frazier fights was in 1971, when he lost at Madison Square Garden. He won the next two, a rematch in Madison Square Garden in 1974 and the "Thrilla in Manilla" in 1975.
In 1973, Ken Norton broke his jaw in the second round. Ali refused to quit and narrowly lost by decision in the 12-round bout. He defeated Norton in their two subsequent rematches.
Despite doubts that he was washed up, Ali knocked out Foreman in 1974 in the fight in which he told Dundee he came "closest to death."
"If you think the world was surprised when Nixon resigned,
Wait 'til I whup Foreman's behind!
I done rassled with an alligator, I done tussled with a whale
Handcuffed lightning, thrown thunder in jail;
Only last week, I murdered a rock, injured a stone, hospitalized a brick;
I'm so mean I make medicine sick."
As his career dragged on, he lost then regained the title from Spinks. He came out of retirement to fight Holmes, but it was a mistake as Ali took a beating from the champion, who apologized afterward. Ali finally retired at 39 after losing to Berbick in Nassau. He accepted the fight because he wanted to close his career with a victory and once again, he was in financial straights.
Ali was preceded in death by his rival, Frazier, whom he had mercilessly insulted as an "Uncle Tom" and an "ugly gorilla." He later apologized, said he was overzealous in promoting their fights.
Ali could be vicious in the ring. For some years, he was a philanderer out of it.
But people who spent time with him were moved by his kindness, his wit, his courage. He accepted his disease, never asked anyone to feel sorry for him.
"I won the title, became champion. Powerful and strong," he said. "And then God tries you, takes my health. Fixes it so it's hard to talk. Hard to walk. I'm blessed and thankful to God that I understand he's trying me. This is a trial from God. He gave me this illness to remind me that I'm not number one. He is."
Pacheco said Ali's heart was as good as it was strong.
"Ali was no intellectual but he had an intuition that was eerie," Pacheco said. "He did things wrong and they came out right. He boxed wrong, and it worked. He joined the wrong religion – that was supposed to be his downfall – but it worked because he symbolized steadfastness. He refused the draft – oh, that'll be the end of Ali. But, no, he was a hero for it. Then he carried the torch at the Atlanta Olympics. Why would he expose himself as frail and pitiful? But that was perfect, too. People loved him all over again for the strength of showing his weakness."
In an interview years ago, Ali described how he'd like to be remembered:
"I'll tell you how I'd like to be remembered: As a black man who won the heavyweight title and who was humorous and who treated everyone right. As a man who never looked down on those who looked up to him and who helped as many of his people as he could – financial and also in their fight for freedom, justice and equality. As a man who wouldn't embarrass them. As a man who tried to unite his people through the faith of Islam that he found when he listened to the Honorable Elijah Muhammad. And if all that's asking too much, then I guess I'd settle for being remembered only as a great boxing champion who became a preacher and a champion of his people. And I wouldn't even mind if folks forgot how pretty I was."


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Tensor decompositions and applications
This survey provides an overview of higher-order tensor decompositions, their applications, and available software. A tensor is a multidimensional or N-way array. Decompositions of higher-order tensors (i.e., N-way arrays with N ≥ 3) have applications in psycho-metrics, chemometrics, signal processing, numerical linear algebra, computer vision, numerical analysis, data mining, neuroscience, graph analysis, and elsewhere. Two particular tensor decompositions can be considered to be higher-order extensions of the matrix singular value decomposition: CANDECOMP/PARAFAC (CP) decomposes a tensor as a sum of rank-one tensors, and the Tucker decomposition is a higher-order form of principal component analysis. There are many other tensor decompositions, including INDSCAL, PARAFAC2, CANDELINC, DEDICOM, and PARATUCK2 as well as nonnegative variants of all of the above. The N-way Toolbox, Tensor Toolbox, and Multilinear Engine are examples of software packages for working with tensors. 1. Introduction. A tensor is a multidimensional array. More formally, an N-way or N th-order tensor is an element of the tensor product of N vector spaces, each of which has its own coordinate system. This notion of tensors is not to be confused with tensors in physics and engineering (such as stress tensors) [175], which are generally referred to as tensor fields in mathematics [69]. A third-order tensor has three indices, as shown in Figure 1.1. A first-order tensor is a vector, a second-order tensor is a matrix, and tensors of order three or higher are called higher-order tensors. The goal of this survey is to provide an overview of higher-order tensors and their decompositions. Though there has been active research on tensor decompositions and models (i.e., decompositions applied to data arrays for extracting and explaining their properties) for the past four decades, very little of this work has been published
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Tensor decompositions for signal processing applications: From two-way to multiway component analysis
The widespread use of multi-sensor technology and the emergence of big datasets has highlighted the limitations of standard flat-view matrix models and the necessity to move towards more versatile data analysis tools. We show that higher-order tensors (i.e., multiway arrays) enable such a fundamental paradigm shift towards models that are essentially polynomial and whose uniqueness, unlike the matrix methods, is guaranteed under very mild and natural conditions. Benefiting from the power of multilinear algebra as their mathematical backbone, data analysis techniques using tensor decompo-sitions are shown to have great flexibility in the choice of constraints that match data properties, and to find more general latent components in the data than matrix-based methods. A comprehensive introduction to tensor decompositions is provided from a signal processing perspective, starting from the algebraic foundations, via basic Canonical Polyadic and Tucker models, through to advanced cause-effect and multi-view data analysis schemes. We show that tensor decompositions enable natural generalizations of some commonly used signal processing paradigms, such as canonical correlation and subspace techniques, signal separation, linear regression, feature extraction and classification. We also cover computational aspects, and point out how ideas from compressed sensing and scientific computing may be used for addressing the otherwise unmanageable storage and manipulation problems associated with big datasets. The concepts are supported by illustrative real world case studies illuminating the benefits of the tensor framework, as efficient and promising tools for modern signal processing, data analysis and machine learning applications; these benefits also extend to vector/matrix data through tensorization.
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Parallel randomly compressed cubes: A scalable distributed architecture for big tensor decomposition
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Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions
Nathan Halko
Per-Gunnar Martinsson
Joel A. Tropp
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A flexible and efficient algorithmic framework for constrained matrix and tensor factorization
We propose a general algorithmic framework for constrained matrix and tensor factorization, which is widely used in signal processing and machine learning. The new framework is a hybrid between alternating optimization (AO) and the alternating direction method of multipliers (ADMM): each matrix factor is updated in turn, using ADMM, hence the name AO-ADMM. This combination can naturally accommodate a great variety of constraints on the factor matrices, and almost all possible loss measures for the fitting. Computation caching and warm start strategies are used to ensure that each update is evaluated efficiently, while the outer AO framework exploits recent developments in block coordinate descent (BCD)-type methods which help ensure that every limit point is a stationary point, as well as faster and more robust convergence in practice. Three special cases are studied in detail: non-negative matrix/tensor factorization, constrained matrix/tensor completion, and dictionary learning. Extensive simulations and experiments with real data are used to showcase the effectiveness and broad applicability of the proposed framework.
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Fourier PCA and robust tensor decomposition
Fourier PCA is Principal Component Analysis of a matrix obtained from higher order derivatives of the logarithm of the Fourier transform of a distribution. We make this method algorithmic by developing a tensor decomposition method for a pair of tensors sharing the same vectors in rank-1 decompositions. Our main application is the first provably polynomial-time algorithm for underdetermined ICA, i.e., learning an n × m matrix A from observations y = Ax where x is drawn from an unknown product distribution with arbitrary non-Gaussian components. The number of component distributions m can be arbitrarily higher than the dimension n and the columns of A only need to satisfy a natural and efficiently verifiable nondegeneracy condition. As a second application, we give an alternative algorithm for learning mixtures of spherical Gaussians with linearly independent means. These results also hold in the presence of Gaussian noise. *
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Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications
Xiao Fu
Kejun Huang
Nicholas D. Sidiropoulos
Wing-Kin Ma
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Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Yuejie Chi
Yue M. Lu
Yuxin Chen
最近在通过非凸优化开发用于低秩矩阵分解的可证明的准确且有效的算法方面取得了实质性进展。虽然传统智慧由于它们对伪局部最小值的敏感性而经常对非凸优化算法持模糊观点,但是诸如梯度下降的简单迭代方法在实践中已经非常成功。然而,理论上的立足点直到最近一直在进行。在本教程式概述中,我们强调了统计模型在实现高效非凸优化和性能保证方面的重要作用。我们回顾了两种对比方法:(1)两阶段算法,它包括一个定制的初始化步骤,然后是连续的细化; (2)全球景观分析和无初始化算法。讨论了几种规范矩阵分解问题,包括但不限于矩阵感测,相位检索,矩阵完成,盲去卷积,鲁棒主成分分析,相位同步和联合对齐。特别注意说明他们分析的关键技术见解。本文的作用是优化和统计的综合思想导致了有益的研究成果。
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Sketching as a Tool for Numerical Linear Algebra
David P. Woodruff
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Bundle adjustment—a modern synthesis
This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the problem of refining a visual reconstruction to produce jointly optimal structure and viewing parameter estimates. Topics covered include: the choice of cost function and robustness; numerical optimization including sparse Newton methods, linearly convergent approximations, updating and recursive methods; gauge (datum) invariance; and quality control. The theory is developed for general robust cost functions rather than restricting attention to traditional nonlinear least squares.
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Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors
Nikos Kargas
Nicholas D. Sidiropoulos
Xiao Fu
估计一组随机变量的联合概率质量函数(PMF)是统计学习和信号处理的核心。没有结构假设,例如将变量建模为马尔可夫链,树或其他图形模型,联合PMF估计通常是认为不可能 - 未知数随着变量数呈指数增长。但谁给了我们结构模型?是否有一种通用的"非参数"方法来控制联合PMF的复杂性,而不依赖于关于潜在概率模型的先验结构假设?是否可以在不预先偏析分析的情况下发现操作结构?如果我们只观察变量的随机子集,我们还可以估算出所有变量的联合PMF吗?本文或许令人惊讶地表明,如果可以估计任何三个变量的联合PMF,则可以在相对温和的条件下可证实地恢复所有变量的联合PMF。结果让人联想到Kolmogorov的扩展定理 - 低维分布的一致性规范诱导了整个过程的唯一概率测量。不同之处在于,对于有限复杂度(高维PMF的等级)的过程,可以仅从三维分布获得完整的表征。事实上,不是所有的三维PMF都是必需的;而且在更严格的条件下甚至是二维的。利用多线性代数,本文证明了这种高维PMF完成可以得到保证 - 推导出几个相关的可识别性结果。它还提供了一种实用而有效的算法来执行恢复任务。提出了关于电影推荐和数据分类的精心设计的模拟和实际数据实验,以展示该方法的有效性。
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An analytical constant modulus algorithm
Iterative constant modulus algorithms such as Godard and CMA have been used to blindly separate a superposition of co-channel constant modulus (CM) signals impinging on an antenna array. These algorithms have certain deficiencies in the context of convergence to local minima and the retrieval of all individual CM signals that are present in the channel. In this paper, we show that the underlying constant modulus fac-torization problem is, in fact, a generalized eigenvalue problem, and may be solved via a simultaneous diagonalization of a set of matrices. With this new, analytical approach, it is possible to detect the number of CM signals present in the channel, and to retrieve all of them exactly, rejecting other, non-CM signals. Only a modest amount of samples are required. The algorithm is robust in the presence of noise, and is tested on measured data, collected from an experimental setup .
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Tensor decompositions for learning latent variable models
Anima Anandkumar
Rong Ge
Daniel Hsu
Sham M. Kakade
Matus Telgarsky
这项工作考虑了一种计算和统计上有效的参数估计方法,适用于广泛的潜变量模型 - 包括高斯混合模型,隐马尔可夫模型和潜在的Dirichlet分配---在低或可逆的时刻利用一定的张量结构(通常,二阶和三阶)。具体地,参数估计被简化为提取从矩导出的对称张量的某个(正交)分解的问题;这种分解可以看作是矩阵奇异值分解的自然推广。虽然张量分解通常难以计算,但是这些特殊结构的张量的分解可以通过各种方法有效地获得,包括功耗和最大化方法(类似于矩阵的情况)。提供了一种鲁棒的张量幂方法的分析,建立了矩阵奇异向量的Wedin扰动定理的一个类别。这意味着一种强大且计算易处理的估计方法可以用于几种流行的潜变量模型。
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Quasi-Newton methods on Grassmannians and multilinear approximations of tensors
In this paper we proposed quasi-Newton and limited memory quasi-Newton methods for objective functions defined on Grassmannians or a product of Grassmannians. Specifically we defined bfgs and l-bfgs updates in local and global coordinates on Grassmannians or a product of these. We proved that, when local coordinates are used, our bfgs updates on Grassmannians share the same optimality property as the usual bfgs updates on Euclidean spaces. When applied to the best multilinear rank approximation problem for general and symmetric tensors, our approach yields fast, robust, and accurate algorithms that exploit the special Grassmannian structure of the respective problems, and which work on tensors of large dimensions and arbitrarily high order. Extensive numerical experiments are included to substantiate our claims.
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The geometry of algorithms using hierarchical tensors
AMS classification: 15A69 18F15 57N35 41A46 65K10 15A18 65L05 In this paper, the differential geometry of the novel hierarchical Tucker format for tensors is derived. The set H T,k of tensors with fixed tree T and hierarchical rank k is shown to be a smooth quotient manifold, namely the set of orbits of a Lie group action corresponding to the non-unique basis representation of these hierarchical tensors. Explicit characterizations of the quotient manifold, its tangent space and the tangent space of H T,k are derived, suitable for high-dimensional problems. The usefulness of a complete geometric description is demonstrated by two typical applications. First, new convergence results for the nonlinear Gauss-Seidel method on H T,k are given. Notably and in contrast to earlier works on this subject , the task of minimizing the Rayleigh quotient is also addressed. Second, evolution equations for dynamic tensor approximation are formulated in terms of an explicit projection operator onto the tangent space of H T,k. In addition, a numerical comparison is made between this dynamical approach and the standard one based on truncated singular value decompositions.
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Tensor networks and hierarchical tensors for the solution of high-dimensional partial differential equations
Hierarchical tensors can be regarded as a generalisation, preserving many crucial features, of the singular value decomposition to higher-order tensors. For a given tensor product space, a recursive decomposition of the set of coordinates into a dimension tree gives a hierarchy of nested subspaces and corresponding nested bases. The dimensions of these subspaces yield a notion of multilinear rank. This rank tuple, as well as quasi-optimal low-rank approximations by rank truncation, can be obtained by a hierarchical singular value decomposition. For fixed multilinear ranks, the storage and operation complexity of these hierarchical representations scale only linearly in the order of the tensor. As in the matrix case, the set of hierarchical tensors of a given multilinear rank is not a convex set, but forms an open smooth manifold. A number of techniques for the computation of hierarchical low-rank approximations have been developed, including local optimisation techniques on Riemannian manifolds as well as truncated iteration methods, which can be applied for solving high-dimensional partial differential equations. This article gives a survey of these developments. We also discuss applications to problems in uncertainty quantification, to the solution of the electronic Schrödinger equation in the strongly correlated regime, and to the computation of metastable states in molecular dynamics.
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Guaranteed matrix completion via non-convex factorization
Matrix factorization is a popular approach for large-scale matrix completion. The optimization formulation based on matrix factorization can be solved very efficiently by standard algorithms in practice. However, due to the non-convexity caused by the factorization model, there is a limited theoretical understanding of this formulation. In this paper, we establish a theoretical guarantee for the factorization formulation to correctly recover the underlying low-rank matrix. In particular, we show that under similar conditions to those in previous works, many standard optimization algorithms converge to the global optima of a factorization formulation, and recover the true low-rank matrix. We study the local geometry of a properly regularized factorization formulation and prove that any stationary point in a certain local region is globally optimal. A major difference of our work from the existing results is that we do not need resampling in either the algorithm or its analysis. Compared to other works on nonconvex optimization, one extra difficulty lies in analyzing nonconvex constrained optimization when the constraint (or the corresponding regularizer) is not "consistent" with the gradient direction. One technical contribution is the perturbation analysis for non-symmetric matrix factorization.
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Optimization methods for large-scale machine learning
This paper provides a review and commentary on the past, present, and future of numerical optimization algorithms in the context of machine learning applications. Through case studies on text classification and the training of deep neural networks, we discuss how optimization problems arise in machine learning and what makes them challenging. A major theme of our study is that large-scale machine learning represents a distinctive setting in which the stochastic gradient (SG) method has traditionally played a central role while conventional gradient-based nonlinear optimization techniques typically falter. Based on this viewpoint, we present a comprehensive theory of a straightforward, yet versatile SG algorithm, discuss its practical behavior, and highlight opportunities for designing algorithms with improved performance. This leads to a discussion about the next generation of optimization methods for large-scale machine learning, including an investigation of two main streams of research on techniques that diminish noise in the stochastic directions and methods that make use of second-order derivative approximations.
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Tensor decompositions, alternating least squares and other tales
This work was originally motivated by a classification of tensors proposed by Richard Harshman. In particular, we focus on simple and multiple "bot-tlenecks", and on "swamps". Existing theoretical results are surveyed, some numerical algorithms are described in details, and their numerical complexity is calculated. In particular, the interest in using the ELS enhancement in these algorithms is discussed. Computer simulations feed this discussion.
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Low-tubal-rank tensor completion using alternating minimization
The low-tubal-rank tensor model has been recently proposed for real-world multidimensional data. In this paper, we study the low-tubal-rank tensor completion problem, i.e., to recover a third-order tensor by observing a subset of its elements selected uniformly at random. We propose a fast iterative algorithm, called Tubal-Alt-Min, that is inspired by a similar approach for low-rank matrix completion. The unknown low-tubal-rank tensor is represented as the product of two much smaller tensors with the low-tubal-rank property being automatically incorporated, and Tubal-Alt-Min alternates between estimating those two tensors using tensor least squares minimization. First, we note that tensor least squares minimization is different from its matrix counterpart and nontrivial as the circular convolution operator of the low-tubal-rank tensor model is intertwined with the sub-sampling operator. Second, the theoretical performance guarantee is challenging since Tubal-Alt-Min is iterative and nonconvex in nature. We prove that 1) Tubal-Alt-Min guarantees exponential convergence to the global optima, and 2) for an n × n × k tensor with tubal-rank r n, the required sampling complexity is O(nr 2 k log 3 n) and the computational complexity is O(n 2 rk 2 log 2 n). Third, on both synthetic data and real-world video data, evaluation results show that compared with tensor-nuclear norm minimization (TNN-ADMM), Tubal-Alt-Min improves the recovery error dramatically (by orders of magnitude). It is estimated that Tubal-Alt-Min converges at an exponential rate 10 −0.4423Iter where Iter denotes the number of iterations, which is much faster than TNN-ADMM's 10 −0.0332Iter , and the running time can be accelerated by more than 5 times for a 200 × 200 × 20 tensor.
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subset: commoncrawl


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For a 25% discount on David Kogan's Protest and Power: the Battle for the Labour Party, order from Bloomsbury.com and quote LABOURLIST25 at the checkout. LabourList will get £1 for every copy bought using this code.
Revisiting the scene of the crime is always dangerous. Writing the sequel to a book about the Labour Party after a 40-year gap is positively crazy but in 1981-2 I wrote a book ('The Battle for the Labour Party') about the unknown activists who had radically changed the Labour Party over the previous three years. This week I publish the sequel, Protest and Power: The Battle for the Labour Party. It features some of the same people but covers much more ground to chronicle the last 45 years of Labour's very own version of Game of Thrones and reflects on why Labour has won only three of ten general elections since 1979, and since 1945 only three leaders – Clement Attlee, Harold Wilson and Tony Blair – have won power from sitting Conservative governments.
In 1979, Labour fell into trauma after losing to Margaret Thatcher. The national media focussed on MPs as Tony Benn, Eric Heffer and Dennis Skinner, who were slugging it out on the conference floor and in the national executive committee (NEC) with James Callaghan, Michael Foot, then Neil Kinnock and Roy Hattersley. It ignored a far more interesting phenomenon: the unknowns in the Campaign for Labour Party Democracy led by Vladimir Derer, who with Andy Harris, Pete Willsman, Jon Lansman and Chris Mullin created an organisation that influenced hundreds of CLPs and union branches to press for radical change. These were the years of the electoral college and the Benn campaign for deputy leader, along with the new leadership of Ken Livingstone and John McDonnell at the Greater London Council from 1981. I witnessed and recorded it all.
Politics was dominated by constant smoking, the clatter of manual typewriters and non-stop shouting at fringe meetings. The art of paper management was a skill. Writing and copying leaflets that explained detailed constitutional amendments and voting instructions and handing them out to hundreds of delegates. My book was captured in a BBC docu-drama in 1983. 'The Campaign' featured real footage but also, bizarrely, actors playing Vladimir, Willsman, Mullin, various union executives and Robert Glenister in his TV first role playing Jon Lansman. It's a real taste of just how badly people in that era dressed but it was politics in the raw. It is still on YouTube.
Then it was all over. In 1982, the big union general secretaries and Neil Kinnock led the counter revolution, which took the party away from the new left and back into the mainstream. New Labour followed and power was rediscovered.
For the sequel, I wanted to do the story of the left – its rise, fall and rise again. However, the story of Labour is much more nuanced than focussing on one element of the party. Every new leadership repudiates its predecessors and reinvents the future. The last four years have been dramatic but they didn't happen in a vacuum. To capture the full story, I interviewed dozens of big beasts including three former party leaders and other senior figures from the Kinnock, New Labour and Miliband years about their time in control and their successes and failures. The book also includes John McDonnell and Jon Lansman on being victims of that control. Now that pendulum has swung in the opposite direction.
As in 1981, I wanted to capture the latest generation of activists as well as leaders of the party. The huge growth of membership has brought new and different talent with it. In 2015, Momentum was forged between the veterans Lansman and McDonnell and the new activists Emma Rees, Adam Klug, James Schneider and Laura Parker. Rachel Godfrey Wood of Momentum has the same tactical drive as CLPD strategists. Harry Hayball's social media output has had a far wider impact than leafletting but the same mobilising effect. CLPD's paper management of composite motions in 1980 and 1981 was replicated by Another Europe is Possible at last year's conference campaigning for the Brexit composite. Jon Lansman's leaflets in 1980 have been channelled by Michael Chessum's laptop in 2019.
For every event, I've tried to get a wide perspective. As an example, the 2016 'chicken coup' includes interviews with Margaret Hodge, Lucy Powell, John McDonnell, Rebecca Long-Bailey, Jon Lansman, Jonathan Ashworth and also the Momentum activists who drove the second leadership campaign.
Why the detail and wider view? You get better anecdotes, but you also counteract the danger of the history getting lost as the party changes. The one thing we know about Labour is nothing is forever. Tectonic shifts happen very fast. 40 years of time travel in the past is no bad way to think about the future.
For a 25% discount on David Kogan's Protest and Power: the Battle for the Labour Party, order from Bloomsbury.com and quote LABOURLIST25 at the checkout. LabourList will get £1 for every copy bought using this code.


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Browse IP/tech
ROI-19-0059 Aegis Mobility Inc: ICBG Aegis Mobility - 7 assets | ICEBERG IP Group7 US granted patents across 3 families related to safe use of mobile phones while driving and driver safety solutions. Five broker provided claim charts available upon request. Package data provided..Read more
ROI-19-0295 Intellectual Fortress LLC: Intellectual Fortress - 6 assets | ICEBERG IP Group6 US patents across 1 family that relates navigation, smart parking and selfie stick technologies. One broker provided EOU and three broker provided IOUs available upon request. Package data provided..Read more
ROI-19-0372 Mitsubishi Motors Corporation: Mitsubishi AR/VR - 23 assets | ICEBERG IP Group13 US grants, 5 CN, 3 DE & 2 EP filings across 12 patent families relating to AR/VR technology. Mixed-bag of AR/VR assets, but specific focus on digital animation, projectors, display input..Read more
Voice and sound processing software | Stryker CorporationThis technology has been commercialized for portable defibrillators globally with enhanced effectiveness proven through thousands of uses. Novel voice and sound processing developed internally..Read more


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Candidate should have completed a Bachelors or Masters Degree in Journalism, Mass Mass, Communication, Economics, Statistics, Commerce, Public Policy, Arts etc.
Candidate must have at least 2 years of work experience.
Candidate must be able to read, write and speak in Tamil. Fluency is a must. Knowledge of English also a must.
Candidate should be familiar with tools such as Google Advanced Search, Google Image Search, WhoIs etc.
Candidate should have an eye for accuracy and detail.
Candidate must be able to work independently and take informed decisions based on research.
Candidate must be open to a flexible schedule.
Being an accredited journalist is a plus.
Posted on: 30 Sep, 2019


text:
New Patients
Thank you for choosing Columbia Mountain Massage Therapy. To save time during your visit, please download, print and fill out the forms below and bring them to your first appointment. For massage clients, please print the Intake and Rights and Responsibilities forms. Minors will also need a Consent form.


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Here & Now
More Fallout At Facebook After Cambridge Analytica Scandal04:44Play
Facebook is holding a company-wide meeting Tuesday to answer employee questions over the Cambridge Analytica scandal. The company's data security chief will soon depart the company.
Here & Now's Robin Young speaks with MSNBC's Ali Velshi (@AliVelshi).
This segment aired on March 20, 2018.
Support the news
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text:
The island views and parks create a pretty picture of Hulls Cove. This city's bars, hiking and whale watching draw many visitors. With a vacation rental, you get a home away from home—many rentals offer full kitchens and outdoor grills for some home cooking.
Do you want to find attractions to visit in the city? Although it can be tempting to stay in your comfortable vacation rental, you'll want to experience everything that makes Hulls Cove a one-of-a-kind vacation spot. Here are some of the major attractions to put on your list, all within 30 miles (48.2 km) of the city center:
Whether you're looking for fun outdoor activities or just want to spend some time taking in the scenery, Hulls Cove is a great place to spend some time outside. These are a few of the area's most eye-catching features, all within 30 miles (48.2 km) of the city center:
The nearest airport is in Bar Harbor, ME (BHB-Hancock County - Bar Harbor), located 5.9 mi (9.5 km) from the city center.
Our 2019 property listings offer a large selection of 32 vacation rentals near Hulls Cove. From 11 Houses to 11 Cabins, find a unique house rental for you to enjoy a memorable stay with your family and friends. The best places to stay near Hulls Cove for a holiday or a weekend are on HomeAway.
Whether you're traveling with family or friends, here are the areas with the largest selection of vacation rentals for a holiday trip or just for a weekend in Hulls Cove:
For other neighborhoods, please use our search bar to access the selection of vacation rentals available.
HomeAway offers a large selection of vacation rentals near lovely places in Hulls Cove. From HomeAway travelers, the most popular points of interest to stay for a holiday trip or just for a weekend are:
But there are many other points of interest around Hulls Cove listed on HomeAway where you can find your place to stay. Please use our search bar to access the selection of vacation rentals available near the point of interest of your choice.
Yes, of course. HomeAway has 11 Houses in Hulls Cove. Our other popular types of vacation rentals in Hulls Cove include:
But you can also enjoy a great stay in one of our other vacation rentals including Bungalows and more.
Yes, you can select your preferred vacation rental with pool among our 5 vacation rentals with pool available in Hulls Cove. Please use our search bar to access the selection of vacation rentals available.


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[ad_1] In the near future, the Ukrainian Navy does not plan to pass through the Kerch Strait, but in the future such attempts may occur. This was announced by the head of …Read More »
Panettiere brutally beaten – details of the PP with the bride Klitschko
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A former employee of Tesla duplicated the autopilot source code into his iCloud account
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LEE Serhiychuk helped Ventspils to defeat, Pyunik Shevchuk escaped defeat, Ordabasy without Kovalchuk overtook Torpedo
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Google Pixel 4 has shown on a detailed render: photo
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We never know from week to week what we will have on hand. If we can't find something to fit you, come back next week.
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We give away bikes and accessories at no cost to clients with vouchers from a partner agency and to clients who earn a bike with volunteer hours. A bike that is free to a client may be worth an equivalent of $100 or more in parts and labor to Gate City Bike Co-op. The average bike requires 1 to 2 hours of repair time, sometimes much longer. A full overhaul takes 4-6 hours.
Most bikes need parts. We repair and reuse parts whenever possible, but we have to purchase many parts.
Tune up at a local bike shop - $75
Overhaul at a local bike shop - $250


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How you can use this image
This image is available to be shared and re-used under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence.
You can reproduce this image for non-commercial purposes and you are not able to change or modify it in any way.
Wherever you reproduce the image you must attribute the original creators (acknowledge the original artist(s) and the person/organisation that took the photograph of the work) and any other rights holders.
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Edward Tyson (1650–1708) was one of the great comparative anatomists. He demonstrated for the first time the probability of a relationship between the anatomy of man and other animals, which was not established more clearly until Charles Darwin published 'The Descent of Man', 150 years later. Tyson's most significant work was 'The Anatomy of a Pygmie compared with that of a Monkey, an Ape and a Man', published in 1699.
oil on canvas
H 126.4 x W 102.2 cm
Accession number
Acquisition method
gift from Dr Richard Tyson, 1764
Work type


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Examples of Low
84 examples:
Has Sweden already fallen that low?
Why do so many people suffer from low self-esteem?
About today's packed-lunch, the menus prepared by Itsuki and Tanaka are low in beta-carotene-rich vegetables again aren't they?
Are wages too low?
(ADP Contributor, ADP https://www.forbes.com/sites/adp/people/adpcontributor/ in Forbes - Business, )
How low will it go?
(The Independent - Business, )
How low can they go?
(ZDNet UK, )
But how low are they?
(Forbes - Technology, )
Why is inflation so low?
(Forbes - Personal Finance, )
Does that still seem low?
(Fox News - Politics, )
How low will China's markets go?
(CNN - World Business, )
Can low prices really turn people off?
(Pia Silva, Contributor https://www.forbes.com/sites/piasilva/ in Forbes - Entrepreneurs, )
And you thought fares to Asia were low?
(Los Angeles Times - Travel & Deal Blog, )
How low can the price of a Windows PC go?
(ZDNet US, )
Who says low exercise levels are useless?
(Tech Times - Health, )
So why is it now buying low power stations?
(Veronica Villafañe, Contributor https://www.forbes.com/sites/veronicavillafane/ in Forbes - Business, )
Which one do you think is lowest of the low?
(The Vancouver Sun - Hockey, )
Has election enthusiasm hit a new low this week?
(BBC News - Politics, )
Who has benefited from record low interest rates?
(BBC News - Business, )
Could low oil prices really stem from Saudi Arabia?
Can coal become the low carbon energy of the future?
(BBC News - Business, )
After 25 years, has it worked in keeping prices low?
(BBC News - U.K. News, )
Is it mobile check-in, Wi-Fi in the air or low costs?
(CNN - World Business, )
Is "low tax" always a synonym for "fair tax"?
(The Vancouver Sun - Business, )
Although the probability is low, is the state prepared?
(Tech Times - Science, )
Sick of getting shafted by low interest rates from banks?
(Forbes - Entrepreneurs, )
Is B.C.'s income tax rate for small businesses too low?
(The Vancouver Sun - Business, )
What caused Litecoin to reach a more-than three-week low?
(Charles Bovaird, Contributor https://www.forbes.com/sites/cbovaird/ in Forbes - Personal Finance, )
What are the factors behind low life expectancy in the U.S.?
(Tech Times - Health, )
Hoping to grab the Huawei Nexus 6P as a gift but low on cash?
(Tech Times - Personal Tech, )
How much longer will crude oil and gasoline prices remain low?
(Forbes - Personal Finance, )
Is your Windows 10 laptop or tablet running low on free space?
(ZDNet US, )
Jose Mourinho's new low, were Tottenham ever top of the table?
(BBC Sport - Football, )
Looking for low resort costs on your next family holiday abroad?
(Daily Mail - Travel, )
Why are banks concentrating on this rather than low savings rates?
(Daily Mail - Money, )
Amazingly low number begs the question, who is their target audience?
(Sydney Morning Herald - World, )
Do you remember when Apple's stock price hit a low of $3.19 in 1997?
(Forbes - Entrepreneurs, )
What are the risk factors for giving birth to low birth weight babies?
(Tech Times - Health, )
What are some options for a small business with a very low Yelp rating?
(Forbes - Entrepreneurs, )
Energy prices in many countries, Canada included, are way too low. Why?
(The Vancouver Sun - Business, )
But isn't there a whiff of gimmickry and low politics about this move?
(Daily Mail - News, )
Long hours and low pay - is working in a kitchen the least desirable job?
(Felicity Spector in The Telegraph - Food and Drink, )
But why does research on low Earth orbit count amid bigger Mars ambitions?
(Tech Times - Science, )
Having hit a new six-year low this past week of US$0.6959, how low can it go?
(Forbes - Personal Finance, )
But it's coming under attack from lenders and low rates, so is it still wise?
(Daily Mail - Money, )
Does this mean the historical relationship is broken in this low yield world?
(Simon Moore, Contributor https://www.forbes.com/sites/simonmoore/ in Forbes - Personal Finance, )
Fears about the global economy have receded. So why are bond yields still so low?
(The Wall Street Journal - Markets News, )
Did you know that dogs can detect things like seizures, low blood sugar and cancer?
(CNET News - Politics and Law, )
What is causing relatively low television viewership of this year's Summer Olympics?
(CNN - World Business, )
So Joachim Low gave the next generation a chance against Scotland - how did they fare?
(Daily Mail - Sport, )
Arctic ice is at a record low, so why was winter so cold in the eastern United States?
(Tech Times - Science, )
Are low serial numbered new Jane Austen £10 notes worth considerably more than a tenner?
(Daily Mail - Money, )
But will switching to low energy use bulbs save you money and keep your home bright enough?
(Daily Mail - Money, )
With the economy improving and the Fed pulling back on stimulus, why are rates still so low?
Does Iliad have a strategy behind approaching Deutsche Telekom with a low offer for T-Mobile?
(Forbes - Technology, )
In the drive to reduce our consumption, are there dangers in setting targets that are too low?
(Daily Mail - Health, )
Norwegian has launched a 12+ hour economy flight to Singapore – but is it worth the low fare?
(Rachel Hosie in The Independent - Travel, )
Where are the industries with low barriers to entry, few dominant competitors and growing sales?
(Forbes - Business, )
Will Zimbabwe's President Emmerson Mnangagwa be able to deliver new homes to low income earners?
(BBC News - Business, )
Is Starbucks missing out on millions of dollars in revenue because its coffee prices are too low?
(Forbes - Entrepreneurs, )
What do you do if you're a historically unpopular new president, with a record low approval rating?
(Sydney Morning Herald - World, )
As the Bank of England keeps interest rates at a record low, is there any glimmer of hope for savers?
(BBC News - Business, )
With oil prices likely to remain low for a considerable period, how can you profit from the situation?
(Forbes - Personal Finance, )
Is tipping the right thing to do, or does it perpetuate an unethical system low wages for certain jobs?
IAN LADYMAN: The Arsenal boss has been low at Arsenal before but has he ever been quite as low as this?
(Daily Mail - Sport, )
Why do rates of HPV vaccination remain low despite the established safety and effectiveness of the shot?
(Tech Times - Health, )
Why are girls suffering from low self-esteem and what can we do to make them feel better about themselves?
(BBC News - U.K. News, )
Is the low marriage rate a sign of Millennial narcissism or an unremarkable byproduct of the age we live in?
(Forbes - Personal Finance, )
Why are so few women entrepreneurs pursuing Venture Capital and when they do, why is their success rate so low?
(Forbes - Entrepreneurs, )
In an industry characterized by low wages can a healthtech startup offer a better deal for carers and clients alike?
(Trevor Clawson, Contributor http://www.forbes.com/sites/trevorclawson/ in Forbes - Entrepreneurs, )
The odds of the Earth getting hit by a large asteroid are relatively low, but what would happen if such an event did occur?
(Tech Times - Science, )
Do you feel like these platforms like Fiverr and Upwork are training clients to think your work is doable at insanely low rates?
(Pia Silva, Contributor https://www.forbes.com/sites/piasilva/ in Forbes - Entrepreneurs, )
Patients with in-hospital cardiac arrest have low survival rates -- but why do some hospitals achieve higher survival than others?
(Science Daily - News, )
Could this be the cure for the low HPV vaccination rates shown by the Blue Cross Blue Shield Association (BCBSA) Health of America Report?
(Bruce Y. Lee, Contributor https://www.forbes.com/sites/brucelee/ in Forbes - Business, )
Is there an alternative to shelling out all that money just to put in an application to a school where acceptance rates are depressingly low?
(Forbes - Education, )
Is it any wonder that employee engagement is reported to be at an all time global low while business continues to become increasingly complex?
(Forbes - Entrepreneurs, )
So, do you think the guy who arrived amid such low expectations — and, let's face it, almost zero name recognition — has proven his point?
(Daily Mail - Sport, )
Is the estimated range of bids for Yahoo, as reported by the Wall Street Journal, too low for the actual market value of the ailing web pioneer?
(Tech Times - Personal Tech, )
In the drive to reduce our consumption, are there dangers in organizations such as the World Health Organization setting targets that are too low?
(Daily Mail - Health, )
She would wake up with cravings and search her hiding spots when she felt low — in her kitchen, her car, her desk at school.Leonard's drug of choice?
(NBC Today, )
With the pound being so strong and low mortgage rates in Europe, now seems a good time to buy but how can we go about borrowing the rest of the money we need?
(Daily Mail - Money, )
Is it still worth considering buying a leasehold property when the Government has said it wants to ban leasehold houses and restrict ground rents to as low as zero?
(Daily Mail - Money, )
People with hypertension are generally advised to lower their blood pressure to reduce their risk of having a heart attack or a stroke, but how low should they aim for?
(Fox News - Health, )
Canned cat food products were recalled after they were discovered to have low levels of thiamine, also known as Vitamin B1. Why is thiamine deficiency harmful for cats?
(Tech Times - Health, )
Nationwide, Virgin Money, Yorkshire Building Society and Clydesdale are the latest in a flood of lenders slashing mortgage rates - but how low can rates realistically go?
(Daily Mail - Money, )
Other sentences
100 examples:
It's so low.
It's too low.
It's very low.
Battery is low!
I'm feeling low.
The bridge is low.
She has low tastes.
I prefer low heels.
The clouds hung low.
He has a low libido.
Tom gave a low moan.
He bent his head low.
The roof is very low.
Expectations are low.
The river is very low.
I feel very low today.
Supplies were very low.
He's feeling really low.
Their supplies were low.
She has a low sex drive.
My money is running low.
Tom has low self-esteem.
Tom spoke in a low voice.
I'm in low spirits today.
My printer is low on ink.
Mary has low self-esteem.
I have low blood pressure.
His greed brought him low.
Today's low was 3 degrees.
The moon is low in the sky.
The airplane flew very low.
Tom has low blood pressure.
Your mental age is too low.
Dark clouds are hanging low.
Please speak in a low voice.
She is in low spirits today.
The chair is too low for me.
Tom is feeling a little low.
I have a low opinion of Tom.
The man spoke in a low voice.
This chair is too low for me.
The sea gulls are flying low.
Taro has a low boiling point.
She came home in low spirits.
The books are on a low shelf.
The hill looks low from here.
That plane is flying too low.
I consider the price too low.
That's just low and atrocious.
She hung her head low in shame.
I'd never stoop so low as that.
His popularity was at a low ebb.
The singer has a very low voice.
There is a low hill near the sea.
This desk is a little low for me.
I'm very low on change right now.
She always speaks in a low voice.
Tom has a low tolerance for pain.
The helicopter is flying very low.
I bought this coat at a low price.
She is now in a low frame of mind.
Today's low was 3 degrees Celsius.
The temperature is very low today.
Lots of low trees grow on the hill.
The moon is low in the sky tonight.
I bought this dress at a low price.
She complained about my low salary.
I'm a little low on cash right now.
Dutch is a Low Franconian language.
Girls use makeup in their low teens.
She suffers from low blood pressure.
Prices went to amazingly low levels.
Tom complained about his low salary.
Tom has a low frustration tolerance.
Stock prices plunged to a record low.
This desk is a little too low for me.
Put the car in low to climb the hill.
She complained that my salary was low.
The price of this computer is very low.
She's insecure and has low self esteem.
The yen is still low against the dollar.
Food supplies at the fort were very low.
Tom bought it for an absurdly low price.
You're aiming too low to hit the target.
Many people suffer from low self-esteem.
Cranes flying low indicate warm weather.
I saw some people there leading a low life.
His salary is low so he has to do odd jobs.
I was agreeably surprised by the low prices.
His salary is too low to support his family.
I bought a VCR at that store for a low price.
This building has a low ecological footprint.
He's insecure and has really low self esteem.
He is always complaining about his low salary.
The company exploited its workers with low pay.
This pen is a real bargain at such a low price.
Visibility is low.
(Forbes - Business, )
Food is running low.
(Great Falls (Mont.) Tribune in USA Today - National, )
The ratings were low.
(Los Angeles Times - Hockey, )
Startup costs are low.
(Forbes - Entrepreneurs, )
Other examples
See also examples for lows, lowing, lower, lowest, Fly Low, Lay Low, lie low, Low Key, low-cal, low-cut, Low-End, Low-Fat, low-key, low-set, run low, Down Low, high-low, laid low, low beam, low blow, Low Five, low gear, low mass, Low Road, Low Side, low tide, low-beam, Low-Born, Low-Carb, low-cost, low-down, low-rise, low-tech, low brass, Low Grade, low pitch, Low Saxon, low water, low-class, low-grade, low-keyed, low-level, low-lying, Low-Speed, low german, low relief, Low Season, low status, low sunday, low-budget, low-priced, low density, low profile, low quality.
Don't miss the pronunciation examples of Low to learn how to say it correctly!
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text:
New Delhi: There seems to be no end to brutality. A 14-year-old girl employed as a domestic worker has been rescued with injuries allegedly inflicted by her employer, a dentist, who lives in Model Town's Kalyan Vihar in north-west Delhi.
A tribal from Jharkhand, the child was allegedly bitten, beaten and burnt in the past four months after she was placed there by an agency, according to Delhi Commission for Women (DCW).
The child has been put under the care and protection of the child welfare committee and DCW counsellors. The commission is now trying to trace the family of the girl in Jharkhand. The case came to light because of an alert neighbour who called up the 181 helpline of DCW.
Swati Jaihind, commission chief, shared details of the case on Twitter. "We rescued the 14-year-old Jharkhandi domestic maid from Model Town. Can't describe her condition! She was burnt, beaten, attacked with scissor, spat at and bitten by lady employer who is a doctor! Most evil!"
She went on to tweet that the "Little girl was so brave. Her lady employer so vicious." In another tweet, she said: "A doctor herself, how could she torture a 14-year-old in such a brutal manner. Little girl was confined to house, not given sweater, food and has been reduced to bones. Police arrested lady employer! Should be given maximum punishment!"
The girl was tortured physically and mentally, confined to the house and not paid any money, alleged Jaihind. "She had deep marks, cuts and bruises all over her body. She said she was burnt by her employer with an iron and hot water was regularly thrown at her.
Several burn marks were visible on her body," claimed the commission in a press statement. The DCW team also claimed to have seen bite marks all over her face and other signs of maltreatment too.


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Miháld is a village in Hungary, Zala county , with 921 inhabitants. It is located in the region(s) Lake Balaton, Southern Transdanubia, Western Transdanubia.
In the region there are 3 accommodations available for free booking. In the area there are 3 chalets. Accommodations of Miháld can be seen on the map. Miháld's accommodations have a score of 94% based on 12 guest reviews. Prices range between 5 and 15 $.
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text:
Road Rage USA!!! Is it ever going to get better? There is no question that incidents of road rage are on the increase. Truckers see it every day. People driving to and from work, are likely to see it, either on the way to or on the way home from work. The comment most used during these situations "where's a cop when you need one"? Or, "what an idiot"! No question these people pose a threat to the public and create all kinds of problems when they are involved in an accident. Will it ever get any better? The answer could be in the development of Self Driving Cars.
Driving Behavior
We see aggressive drivers every day. You'll notice right away speeding, weaving in and out of traffic, improper passing, tailgating, and coming up behind you like they aren't going to stop in time. Do you ever wonder, what would make a grown man or woman act that way? Tension from work, maybe they overslept one too many times and their boss is at the end of his rope. They had a monstrous argument with their spouse before they left for work and they are taking out all their frustration on you. Or, they are not paying attention, have their foot on the accelerator, arguing with someone on the cell phone, or texting his girlfriend. Anyway, it all adds up to not paying attention or just not caring for other people.
Some drivers can't forgive another driver for a mistake he might have made. The person in front may have changed lanes too soon and cut the short-tempered driver off. He gets mad and starts following too closely. The guy in front sees what happens and slows down, further infuriating the short-tempered driver. The aggressive driver starts shaking his fist and giving the number one sign, and before you know it we have two aggressive drivers on the road. And we have another case of road rage USA in the making. Forgive and forget is the best plan of action here.
We have had problems with alcohol and driving for quite some time now. I worry, with a lot of states legalizing marijuana and the problems we have with prescription drugs, that we are creating more problems on our highways now. We all know that alcohol is more likely to generate aggressive behavior. Marijuana and prescription drugs slow a person's reflexes blur their vision and create a host of other problems, as does alcohol. We also have to factor in the fact that we have a larger immigrant population now that does not know how to read English. They will change lanes or slow down because they missed their exit, thus making the aggressive drivers that much more threatening.
Just this morning in south Dallas an off-duty firefighter was drunk, driving erratically and traveling way above the speed limit. He struck a Mazda SUV, being driven by a pregnant, 18-year-old young woman. The force of the impact ejected the woman, killing her and her unborn child. Her boyfriend was also with her and received only minor injuries. A good friend of mine, an older man in his late 60s suffered a heart attack recently. After having triple by-pass surgery, in the hospital for three days, and at home recovering for two weeks had just returned to work. He was hoping to finish up a 50-year career with a major manufacturing corporation in about six months. He was coming home from work and slowed down for traffic. A person driving a large Ford F250 pick-up, not paying attention plowed into him. He had several injuries, a couple days in the hospital and now at home recovering. Are we going to be able to stop aggressive drivers or at the least slow them down?
Self Driving Cars
There is no question, automatic driving cars are in our future. I know all of you have read stories about the development of the Model T Ford. There were many, discussions about the advantages of owning a horse and the disadvantage of owning something that got stuck in the mud all the time, wouldn't stay running, and made too much noise. It was a lot easier to take care of a horse – all you had to do was feed and water it. At that time there were no decent roads and no service stations. The infrastructure was just not there to support a vehicle that had four wheels and needed gas and oil to run. It is much the same argument we hear today.
Self-driving vehicles are expected to hit the roads by 2020 and by 2040 they expect 95% of cars sold will be autonomous. All the major vehicle manufacturing companies are itching to prove they have a vehicle that will drive better than you. A lot of these cars will work on radar so getting them to crash is near impossible. We already have a lot of the technology in our vehicles today. Things like self-parking, lane departure warning, following too close warnings, cruise control, as well as built-in GPS systems.
In the Future
Self-driving cars are expected to make our roads a lot safer. One needs to ask, "what will the impatient driver do when he has to go with the flow of the traffic?" When a person has to sit behind the wheel and let the car do the driving. There will have to be some major adjustments for most people. You may ask, "can the government make us buy self-driving cars?" The short answer is no, but they will create ways to make you buy them. Tax incentives, fines for creating too much pollution, the high cost of fuel and repairs on a gas or diesel vehicles are just some ways. Like they did with smoking and Health Insurance.
Technology is advancing at a faster rate every day. It won't be but a few more years and we will be sitting behind the wheel of our truck or car, reading a newspaper, taking a nap, shopping on the internet, or texting our lives away while we drive down the road. Maybe Road Rage will be a thing of the past!! Let me know what you think!! Comment Below!!


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Saturday, August 15, 2015
How do you like me now? - 8 images
Posted by Bozo Funny at 2:54 PM
1 comment:
- Mr Tocoi said...
If your man is pushing you away and acting distant
Or if the guy you're after isn't giving you the time of day...
Then it's time to pull out all the stops.
Because 99% of the time, there is only 1 thing you can say to a standoffish guy that will grab him by the heartstrings-
And get his blood pumping at just the thought of you.
Insert subject line here and link it to: <=========> Your ex won't be able to resist?
Once you say this to him, or even send this simple phrase in a text message...
It will flip his world upside down and you will suddenly find him chasing you-
And even begging to be with you.
Here's what I'm talking about: <=========> Is your man hiding something? He may need your help?
Thanks again.
Subscribe to: Post Comments (Atom)


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Anna has been fascinated by babies and young children her whole life. She has volunteered in various capacities and also has ten years' experience as a foster parent. She has over 27 years' teaching experience, working for many years as an advanced skills teacher and most recently as an Assistant Head Teacher. She has led her Early Years' teams to four consecutive Outstanding grades from Ofsted. She promotes child-led learning in which children are given autonomy and respect. She now works as an independent author and consultant, supporting practitioners both in the UK and abroad. She has had four books published – Nursery, Reception and Year One in Action and, most recently, Planning in the Moment. Anna is also now spending a lot of time in Bristol looking after her granddaughter and supporting a local pre-school.
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Developing an Ambitious Curriculum in EYFS
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Welcome to the web's best Russian Izumo dating website that caters to introducing you to Russians that live abroad looking to meet someone with a similar ethnic background.
Find East Europeans from Polish Dating Shimane including Izumo and nearby cities,
Hiratacho (9 km), Matsue-shi (28 km), Odacho-oda (29 km), Yasugicho (45 km), Sakaiminato (47 km), Yonago (52 km), Shobara (61 km), Gotsucho (62 km), Miyoshi (63 km), Niimi (78 km), Hamada (80 km), Kurayoshi (97 km), Fuchucho (98 km), Takahashi (101 km), Kannabecho-yahiro (107 km), Ibara (107 km), Mihara (111 km), Fukuyama (112 km), Hiroshima-shi (112 km), Masuda (113 km), Takehara (114 km), Onomichi (114 km), Kasaoka (117 km), Soja (118 km), Tsuyama (118 km), Kamogatacho-kamogata (119 km).
Find Russian girls in Izumo or browse Polish Dating Shimane for more cities. Registration is completely free and only takes seconds.
〒693 Shimane-ken
70 出雲市役所
Polish Dating Shimane
Russian Dating Matsue-shi | Russian Dating Yonago | Russian Dating Hamada | Russian Dating Kurayoshi | Russian Dating Fuchucho | Russian Dating Mihara | Russian Dating Fukuyama | Russian Dating Hiroshima-shi | Russian Dating Masuda | Russian Dating Onomichi | Russian Dating Kasaoka | Russian Dating Soja | Russian Dating Tsuyama
There are approximately 250 registered profiles from Izumo. Including surrounding areas of Hiratacho, Matsue-shi, Odacho-oda, Yasugicho, Sakaiminato, Yonago, Shobara, Gotsucho, Miyoshi, Niimi, Hamada, Kurayoshi, Fuchucho, Takahashi, Kannabecho-yahiro, Ibara, Mihara, Fukuyama, Hiroshima-shi, Masuda, Takehara, Onomichi, Kasaoka, Soja, Tsuyama, Kamogatacho-kamogata, there are over 7,571 members and growing every day.