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A trace ratio maximization approach to multiple kernel-based dimensionality reduction
Affiliation:1. School of Computer Science and Technology, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou, Zhejiang, China;2. National Centre for Computer Animation, Bournemouth University, Bournemouth BH125BB, UK;3. Institute of Service Engineering, Hangzhou Normal University, 2318 Yuhangtang Road, Hangzhou, Zhejiang, China;1. State Key Laboratory of Integrated Services Networks, Xidian University, Shaanxi 710071, China;2. Center for OPTical Imagery Analysis and Learning, Northwestern Polytechnical University, Shaanxi 710065, China;1. Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118, USA;2. The Institute of Statistical Mathematics, Tachikawa, Tokyo 190-8562, Japan
Abstract:
Keywords:Kernel learning  Dimensionality reduction  Graph embedding  Supervised learning  Unsupervised learning
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