Low-Rank Modeling and Its Applications in Image Analysis

15 Jan 2014 Xiaowei Zhou Can Yang Hongyu Zhao Weichuan Yu

Low-rank modeling generally refers to a class of methods that solve problems by representing variables of interest as low-rank matrices. It has achieved great success in various fields including computer vision, data mining, signal processing and bioinformatics... (read more)

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