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International Meeting on “High-Dimensional Data-Driven Science” (HD3-2017)

Kyoto, Japan September 10-13, 2017 Preface: In the Big Data era, high-dimensional data-driven science (HD3 Science) has attracted considerable attention. In natural science, highly advanced experimental and measurement technologies yield high-dimensional data intractable for conventional analyses based on researchers’ intuition. However, recent progress in information science provides a variety of methodologies through which the problems of high-dimensional data are addressed. The scientific principle of HD3 Science is to establish a universal modeling platform where the motivation of natural science is smoothly conveyed with high-dimensional data to information science. The previous meeting for HD3-2015 focused on “sparse modeling” as a principal component of the platform and its wide application to nuclear magnetic resonance spectroscopy in chemistry, magnetic resonance imaging in medicine, and astronomical interferometry in astronomy. List of Editors, Organizing Committee and Conference Photograph is available in this pdf.