{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:14:23Z","timestamp":1780762463715,"version":"3.54.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>Learning on Grassmann manifold has become popular in many computer vision tasks, with the strong capability to extract discriminative information for imagesets and videos. However, such learning algorithms particularly on high-dimensional Grassmann manifold always involve with significantly high computational cost, which seriously limits the applicability of learning on Grassmann manifold in more wide areas. In this research, we propose an unsupervised dimensionality reduction algorithm on Grassmann manifold based on the Locality Preserving Projections (LPP) criterion. LPP is a commonly used dimensionality reduction algorithm for vector-valued data, aiming to preserve local structure of data in the dimension-reduced space. The strategy is to construct a mapping from higher dimensional Grassmann manifold into the one in a relative low-dimensional with more discriminative capability.  The proposed method can be optimized as a basic eigenvalue problem. The performance of our proposed method is assessed on several classification and clustering tasks and the experimental results show show its clear advantages over other Grassmann based algorithms.<\/jats:p>","DOI":"10.24963\/ijcai.2017\/403","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T09:14:07Z","timestamp":1501233247000},"page":"2893-2900","source":"Crossref","is-referenced-by-count":22,"title":["Locality Preserving Projections for Grassmann manifold"],"prefix":"10.24963","author":[{"given":"Boyue","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology"},{"name":"Faculty of Information Technology, Beijing University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongli","family":"Hu","sequence":"additional","affiliation":[{"name":"Beijing Advanced Innovation Center for Future Internet Technology"},{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology"},{"name":"Faculty of Information Technology, Beijing University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junbin","family":"Gao","sequence":"additional","affiliation":[{"name":"Discipline of Business Analytics. The University of Sydney Business School, University of Sydney, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanfeng","family":"Sun","sequence":"additional","affiliation":[{"name":"Beijing Advanced Innovation Center for Future Internet Technology"},{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology"},{"name":"Faculty of Information Technology, Beijing University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoran","family":"Chen","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology"},{"name":"Faculty of Information Technology, Beijing University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Ali","sequence":"additional","affiliation":[{"name":"Charles Sturt University, Bathurst, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baocai","family":"Yin","sequence":"additional","affiliation":[{"name":"Beijing Advanced Innovation Center for Future Internet Technology"},{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology"},{"name":"Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"Twenty-Sixth International Joint Conference on Artificial Intelligence","theme":"Artificial Intelligence","location":"Melbourne, Australia","acronym":"IJCAI-2017","number":"26","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)","University of Technology Sydney (UTS)","Australian Computer Society (ACS)"],"start":{"date-parts":[[2017,8,19]]},"end":{"date-parts":[[2017,8,26]]}},"container-title":["Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T11:53:45Z","timestamp":1501242825000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2017\/403"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2017\/403","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}