Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis
Author:
Affiliation:
1. School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, Shaanxi, China
2. School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China
Funder
National Natural Science Foundation of China
Basic Research Strengthening Program of China
Natural Science Basic Research Plan in Shaanxi Province of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10345401/10275043.pdf?arnumber=10275043
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