conference paper Open access
Multi-view Sparse Embedding Analysis Based Image Feature Extraction and Classification
Yangping Zhua, Xiao‐Yuan Jinga b✉, Qing Wangc, Fei Wud, Hui Fengb, Shanshan Wua
- aCollege of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
- bState Key Laboratory of Software Engineering, Wuhan University, Wuhan, 430079, China
- cCollege of Computer, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China
- dCollege of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China
- ✉Corresponding author
Communications in computer and information scienceSpringer Science+Business Media2015-01-01 4 citations16 references
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Abstract
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TL;DRMSEA not only explores the sparse reconstruction relationship that hides in multi-view data, but also considers discriminant correlation by maximizing the within- class correlation and simultaneously minimizing the between-class correlation from intra-view. (Semantic Scholar)

