Improved multi-view GEPSVM via Inter-View Difference Maximization and Intra-view Agreement Minimization.

Cheng, Yawen; Yin, Hang; Ye, Qiaolin; Huang, Peng; Fu, Liyong; Yang, Zhangjing; Tian, Yuan

Cheng, Yawen; Yin, Hang; Ye, Qiaolin; Huang, Peng; Fu, Liyong; Yang, Zhangjing; Tian, Yuan.

Affiliation

Cheng Y; College of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China; Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China.
Yin H; College of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China.
Ye Q; College of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China.
Huang P; College of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China.
Fu L; Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China; Key Laboratory of Forest Management and Growth Modeling, National Forestry and Grassland Administration, Beijing 100091, China. Electronic address: fuliyong840909@163.com.
Yang Z; Jiangsu Key Laboratory of Auditing Information Engineering, School of Information Engineering, Nanjing Audit University, Nanjing, Jiangsu 211815, China.
Tian Y; School of Computer Engineering, Nanjing Institute of Technology, West Beijing Road, Nanjing, Jiangsu, China.

Neural Netw ; 125: 313-329, 2020 May.

Article in En | MEDLINE | ID: mdl-32172141

Subject(s)

Support Vector Machine/standards; Pattern Recognition, Automated/methods

Key words

GEPSVM; IMvGEPSVM; L1-norm; Multi-view learning; Robustness

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Support Vector Machine Type of study: Prognostic_studies / Qualitative_research Language: En Journal: Neural Netw Year: 2020 Document type: Article

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