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Nevertheless, the distribution discrepancy between cross-views leads to the fact that instances of the different views from same class are farther than those within the same view but from different classes. To address this problem, in this paper, we develop a novel cross-view discriminative feature subspace learning method inspired by layered visual perception from human. Firstly, the proposed method utilizes a separable low-rank self-representation model to disentangle the class and view structure layers, respectively. Secondly, a local alignment is constructed with two designed graphs to guide the subspace decomposition in a pairwise way. Finally, the global discriminative constraint on distribution center in each view is designed for further alignment improvement. Extensive cross-view classification experiments on several public datasets prove that our proposed method is more effective than other existing feature learning methods.<\/jats:p>","DOI":"10.1155\/2020\/8872348","type":"journal-article","created":{"date-parts":[[2020,11,5]],"date-time":"2020-11-05T04:20:14Z","timestamp":1604550014000},"page":"1-14","source":"Crossref","is-referenced-by-count":0,"title":["Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0735-2917","authenticated-orcid":true,"given":"Ao","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4161-3658","authenticated-orcid":true,"given":"Yu","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2234-5192","authenticated-orcid":true,"given":"Xunjiang","family":"Zheng","sequence":"additional","affiliation":[{"name":"Optical Navigation and Detection Division, Shanghai Aerospace Control Technology Institute, Shanghai 201109, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5176-7725","authenticated-orcid":true,"given":"Deyun","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2589-1164","authenticated-orcid":true,"given":"Guanglu","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6274-4449","authenticated-orcid":true,"given":"Kezheng","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China"}]}],"member":"311","reference":[{"key":"1","first-page":"112","article-title":"Human age estimation using bio-inspired features","volume":"27","author":"G. 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