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This makes CNMCP capable of learning uncorrelated low\u2010dimensional features with minimum redundancy in Hilbert space. With the CNMCP framework, we further present a particular algorithm called multikernel multiset canonical correlations or mKMCC, which introduces different weights into multiple nonlinear functions in all views. An alternating iterative optimization is designed for computational solution. Numerous experimental results on practical datasets have demonstrated the effectiveness and robustness of mKMCC, in contrast with existing kernel correlation learning approaches.<\/jats:p>","DOI":"10.1002\/cpe.5476","type":"journal-article","created":{"date-parts":[[2019,9,9]],"date-time":"2019-09-09T16:45:26Z","timestamp":1568047526000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Composite nonlinear multiset canonical correlation analysis for multiview feature learning and recognition"],"prefix":"10.1002","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3712-443X","authenticated-orcid":false,"given":"Yun\u2010Hao","family":"Yuan","sequence":"first","affiliation":[{"name":"School of Information Engineering Yangzhou University  Yangzhou China"},{"name":"School of Computer Science and Technology Fudan University  Shanghai China"}]},{"given":"Xiaobo","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science Nanjing University of Science and Technology  Nanjing China"}]},{"given":"Yun","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information Engineering Yangzhou University  Yangzhou China"}]},{"given":"Bin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information Engineering Yangzhou University  Yangzhou China"}]},{"given":"Jianping","family":"Gou","sequence":"additional","affiliation":[{"name":"School of Computer Science Jiangsu University  Zhenjiang China"}]},{"given":"Jipeng","family":"Qiang","sequence":"additional","affiliation":[{"name":"School of Information Engineering Yangzhou University  Yangzhou China"}]},{"given":"Xinfeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Engineering Yangzhou University  Yangzhou China"}]},{"given":"Quan\u2010Sen","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Computer Science Nanjing University of Science and Technology  Nanjing China"}]}],"member":"311","published-online":{"date-parts":[[2019,9,9]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289710"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/58.3.433"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/28.3-4.321"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.908974"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.988962"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.11.004"},{"key":"e_1_2_8_8_1","doi-asserted-by":"crossref","unstructured":"MokniR MezghaniA DriraH KherallahM.Multiset canonical correlation analysis: texture feature level fusion of multiple descriptors for intra\u2010modal palmprint biometric recognition. 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