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Course website for the ICASSP 2023 Short Course “Learning Nonlinear and Deep Low-Dimensional Representations from High-Dimensional Data: From Theory to Practice”, with course information and materials
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Home | ICASSP 2023 SC2 Skip to main content Menu Expand (external link) Copy Copied ICASSP 2023 SC2 Lectures Instructors Courses from Prior Years ICASSP 2022 SC1 Lectures Instructors This site uses Just the Docs , a documentation theme for Jekyll. Learning Nonlinear and Deep Low-Dimensional Representations from High-Dimensional Data: From Theory to Practice ICASSP 2023, Rhodes, Greece Atlas Wang atlaswang@utexas.edu UT Austin John Wright jw2966@columbia.edu Columbia University Qing Qu qingqu@umich.edu University of Michigan Sam Buchanan sam@ttic.edu Toyota Technological Institute at Chicago Yi Ma yima@eecs.berkeley.edu UC Berkeley / HKU Yuqian Zhang yqz.zhang@rutgers.edu Rutgers University Zhihui Zhu zhu.3440@osu.edu Ohio State University Course Rationale We are currently in the midst of a data revolution. Massive and ever-growing datasets, arising in science, health, or even everyday life, are poised t...
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