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Considering generic training sample of diversity, we proposed an algorithm of auxiliary dictionary of diversity learning (ADDL). We first produced virtual face images by mirror images, square block occlusion and grey transform, and then learned an auxiliary dictionary of diversity using a designed objective function. Considering patch-based method can reduce the influence of variations, we seek extended sparse representation with l<jats:sub>2<\/jats:sub>-minimization for each probe patch. Experimental results in the CMUPIE, Extended Yale B and LFW datasets demonstrate that ADDL performs better than other related algorithms. <\/jats:p>","DOI":"10.1142\/s0218213020500153","type":"journal-article","created":{"date-parts":[[2020,6,15]],"date-time":"2020-06-15T05:59:49Z","timestamp":1592200789000},"page":"2050015","source":"Crossref","is-referenced-by-count":1,"title":["Auxiliary Dictionary of Diversity Learning for Face Recognition with a Single Sample Per Person"],"prefix":"10.1142","volume":"29","author":[{"given":"Weifa","family":"Gan","sequence":"first","affiliation":[{"name":"College of Physics and Optoelectronic Engineering, Xiangtan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huixian","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Physics and Optoelectronic Engineering, Xiangtan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinfang","family":"Zeng","sequence":"additional","affiliation":[{"name":"College of Physics and Optoelectronic Engineering, Xiangtan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Physics and Optoelectronic Engineering, Xiangtan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2020,8,19]]},"reference":[{"key":"p_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.628712"},{"key":"p_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2771530"},{"key":"p_3","doi-asserted-by":"publisher","DOI":"10.1109\/34.598228"},{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.06.029"},{"key":"p_5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79"},{"key":"p_6","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2017.0757"},{"key":"p_12","first-page":"120","author":"Gu J.","year":"2015","journal-title":"Cham"},{"key":"p_13","first-page":"34","volume":"9005","author":"Zhu P.","year":"2014","journal-title":"LNCS"},{"key":"p_14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0750-4"},{"key":"p_15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.30"},{"key":"p_16","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-5062-6"},{"key":"p_18","first-page":"2018","author":"Zeng J.","year":"2018","journal-title":"Computational Intelligence and Neuroscience"},{"key":"p_19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2019.02.007"},{"key":"p_20","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-017-0956-6"},{"key":"p_21","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2567318"},{"key":"p_22","first-page":"186","author":"Kong S.","year":"2012","journal-title":"Heidelberg"},{"key":"p_23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.10.017"},{"key":"p_26","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.03.021"},{"issue":"10","key":"p_28","first-page":"1738","volume":"44","author":"Xu Y.","year":"2013","journal-title":"IEEE Transactions on Cybernetics"},{"key":"p_29","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2009.08.002"},{"key":"p_30","doi-asserted-by":"publisher","DOI":"10.1109\/34.927464"},{"key":"p_33","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.E96.D.2290"},{"key":"p_34","first-page":"822","author":"Zhu P.","year":"2012","journal-title":"Heidelberg"},{"key":"p_36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2545249"},{"key":"p_37","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2567318"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213020500153","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,21]],"date-time":"2020-08-21T10:30:15Z","timestamp":1598005815000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213020500153"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":25,"journal-issue":{"issue":"05","published-print":{"date-parts":[[2020,8]]}},"alternative-id":["10.1142\/S0218213020500153"],"URL":"https:\/\/doi.org\/10.1142\/s0218213020500153","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"type":"print","value":"0218-2130"},{"type":"electronic","value":"1793-6349"}],"subject":[],"published":{"date-parts":[[2020,8]]}}}