{'fraction_non_alphanumeric': 0.023255813953488372, 'fraction_numerical': 0.0, 'mean_word_length': 5.08235294117647, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
The Interval Probability Density As A Tool For Image Classification

This work describes a statistical function , M(A) , obtained by averaging cross products of the time-spatial interval probability density.In some cases, as for example deterministic low light level signals, M(Li) contains the same information as the autocorrelation function with an important improvement of the SNR.T measurement of the MC can be applied in image classification in those cases which we have the value of g of the reference images.