期刊
IEEE TRANSACTIONS ON IMAGE PROCESSING
卷 27, 期 5, 页码 2557-2559出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2018.2803305
关键词
Nongreedy L1-norm linear discriminant analysis (NLDA-L1); improved L1-norm linear discriminant analysis (ILDA-L1); auxiliary function
资金
- National Science Foundation of China [61401214, 61773210, BK20171453]
- National Science Foundation of Jiangsu Province [61401214, 61773210, BK20171453]
To solve the essential objective of L1-norm linear discriminant analysis (LDA-L1), nongreedy LDA-L1 (NLDA-L1) proposes a nongreedy algorithm by constructing an auxiliary function. In this correspondence, we show that essentially, this algorithm directly solves the objective using a gradient ascending procedure, meaning that the auxiliary function may be not necessary. Then, we further show that NLDA-L1 is a special case of improved LDA-L1 (ILDA-L1), which applies the same iterative procedure of ILDA-L1.
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