{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T16:15:23Z","timestamp":1756311323250,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030041816"},{"type":"electronic","value":"9783030041823"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-04182-3_33","type":"book-chapter","created":{"date-parts":[[2018,11,17]],"date-time":"2018-11-17T10:19:48Z","timestamp":1542449988000},"page":"375-387","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Family of Maximum Margin Criterion for Adaptive Learning"],"prefix":"10.1007","author":[{"given":"Miao","family":"Cheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zunren","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongwei","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ah Chung","family":"Tsoi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,18]]},"reference":[{"issue":"1","key":"33_CR1","first-page":"195","volume":"3","author":"MA Turk","year":"1981","unstructured":"Turk, M.A., Pentland, A.P.: Eigenfaces for recognition. J. Cogn. Neurosci. 3(1), 195\u2013197 (1981)","journal-title":"J. Cogn. Neurosci."},{"issue":"7","key":"33_CR2","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1109\/34.598228","volume":"19","author":"PN Belhumeur","year":"1997","unstructured":"Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans. Patt. Anal. Machine Intell. 19(7), 711\u2013720 (1997)","journal-title":"IEEE Trans. Patt. Anal. Machine Intell."},{"key":"33_CR3","volume-title":"Pattern Recognition and Machine Learning","author":"CM Bishop","year":"2011","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2011)"},{"issue":"7","key":"33_CR4","doi-asserted-by":"publisher","first-page":"2067","DOI":"10.1016\/S0031-3203(00)00162-X","volume":"19","author":"H Yu","year":"2001","unstructured":"Yu, H., Yang, J.: A direct LDA algorithm for high-dimensional data - with application to face recognition. Patt. Recog. 19(7), 2067\u20132070 (2001)","journal-title":"Patt. Recog."},{"issue":"1","key":"33_CR5","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1109\/TNN.2005.860852","volume":"17","author":"H Li","year":"2006","unstructured":"Li, H., Jiang, T., Zhang, K.: Efficient and robust feature extraction by maximum margin criterion. IEEE Trans. Neural Netw. 17(1), 157\u2013165 (2006)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"6","key":"33_CR6","doi-asserted-by":"publisher","first-page":"1862","DOI":"10.1109\/TNN.2007.900813","volume":"18","author":"J Liu","year":"2007","unstructured":"Liu, J., Chen, S., Tan, X., et al.: Comments on \u2018Efficient and robust feature extraction by maximum margin criterion\u2019. IEEE Trans. Neural Netw. 18(6), 1862\u20131864 (2007)","journal-title":"IEEE Trans. Neural Netw."},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Cheng, M., Tang, Y.Y., Pun, C.-M.: Nonparametric feature extraction via direct maximum margin alignment. In: Proceedings of IEEE International Conference on Machine Learning and Applications, Hawaii, USA, pp. 585\u2013591 (2010)","DOI":"10.1109\/ICMLA.2011.107"},{"issue":"5","key":"33_CR8","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1109\/TSMCC.2010.2043529","volume":"40","author":"M Cheng","year":"2010","unstructured":"Cheng, M., Fang, B., Tang, Y.Y., et al.: Incremental embedding and learning in the local discriminant subspace with application to face recognition. IEEE Trans. Syst. Man. Cybern. Part C Appl. Rev. 40(5), 580\u2013591 (2010)","journal-title":"IEEE Trans. Syst. Man. Cybern. Part C Appl. Rev."},{"issue":"1","key":"33_CR9","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/TPAMI.2007.250598","volume":"29","author":"S Yan","year":"2007","unstructured":"Yan, S., Xu, D., Zhang, B., et al.: Graph embedding and extensions: a general framework for dimensionality reduction. IEEE Trans. Patt. Anal. Mach. Intell. 29(1), 40\u201351 (2007)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"key":"33_CR10","doi-asserted-by":"crossref","unstructured":"Cheng, M., Tsoi, A.C.: CRH: a simple benchmark approach to continuous hashing. In: Proceedings of IEEE Global Conference on Signal and Information Processing, Orlando, USA, pp. 1076\u20131080 (2015)","DOI":"10.1109\/GlobalSIP.2015.7418363"},{"issue":"2","key":"33_CR11","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1109\/TSMCB.2011.2168604","volume":"42","author":"G-B Huang","year":"2012","unstructured":"Huang, G.-B., Zhou, H., Ding, X., et al.: Extreme learning machine for regression and multiclass classification. IEEE Trans. Syst. Man Cybern. Part B Cybern. 42(2), 513\u2013529 (2012)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"issue":"1","key":"33_CR12","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1109\/TPAMI.2004.1261097","volume":"26","author":"J Yang","year":"2004","unstructured":"Yang, J., Zhang, D., Frangi, A.F., et al.: Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Trans. Patt. Anal. Mach. Intell. 26(1), 131\u2013137 (2004)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"key":"33_CR13","unstructured":"Kong, H., Li, X., Wang, L., et al.: Generalized 2D principal component analysis. In: Proceedings of IEEE International Joint Conference on Neural Networks, Montreal, Canada (2005)"},{"issue":"5","key":"33_CR14","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1016\/j.patrec.2004.09.007","volume":"26","author":"M Li","year":"2005","unstructured":"Li, M., Yuan, B.: 2D-LDA: a statistical linear discriminant analysis for image matrix. Patt. Recog. Lett. 26(5), 527\u2013532 (2005)","journal-title":"Patt. Recog. Lett."},{"issue":"7","key":"33_CR15","doi-asserted-by":"publisher","first-page":"1121","DOI":"10.1016\/j.patcog.2004.12.003","volume":"38","author":"H Xiong","year":"2005","unstructured":"Xiong, H., Swamy, M.N.S., Ahmad, M.O.: Two-dimensional FLD for face recognition. Patt. Recog. 38(7), 1121\u20131124 (2005)","journal-title":"Patt. Recog."},{"key":"33_CR16","unstructured":"Ye, J., Janardan, R., Li, Q.: Two-dimensional linear discriminant analysis. In: NIPS (2004)"},{"issue":"12","key":"33_CR17","first-page":"5017","volume":"24","author":"T-H Chan","year":"2015","unstructured":"Chan, T.-H., Jia, K., Gao, S., et al.: PCANet: a simple deep learning baseline for image classification? IEEE Trans. Patt. Anal. Mach. Intell. 24(12), 5017\u20135032 (2015)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"issue":"7","key":"33_CR18","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Patt. Anal. Mach. Intell. 24(7), 971\u2013987 (2002)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"issue":"1","key":"33_CR19","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s11263-014-0748-y","volume":"119","author":"J Xiao","year":"2016","unstructured":"Xiao, J., Ehinger, K.A., Hays, J., et al.: SUN database: exploring a large collection of scene categories. IJCV 119(1), 3\u201322 (2016)","journal-title":"IJCV"},{"issue":"11","key":"33_CR20","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1109\/5.726791","volume":"86","author":"Y Lecun","year":"1998","unstructured":"Lecun, Y., Bottou, L., Bengio, Y., et al.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 569\u2013571 (1998)","journal-title":"Proc. IEEE"},{"issue":"11","key":"33_CR21","doi-asserted-by":"publisher","first-page":"1985","DOI":"10.1109\/TNN.2008.2005830","volume":"19","author":"K Labusch","year":"2008","unstructured":"Labusch, K., Barth, E., Martinetz, T.: Simple method for high-performance digit recognition based on sparse coding. IEEE Trans. Neural Netw. 19(11), 1985\u20131989 (2008)","journal-title":"IEEE Trans. Neural Netw."},{"key":"33_CR22","unstructured":"Coates, A., Lee, H., Ng, A.Y.: An analysis of single-layer networks in unsupervised feature learning. In: Proceedings of International Conference on Artificial Intelligence and Statistics, Ft. Lauderdale, USA, pp. 215\u2013223 (2011)"},{"key":"33_CR23","doi-asserted-by":"crossref","unstructured":"Yang, S., Luo, P., Loly, C.C., et al.: Deep representation learning with target coding. In: AAAI, Austin Texas, USA, pp. 3848\u20133854 (2015)","DOI":"10.1609\/aaai.v29i1.9796"},{"issue":"1","key":"33_CR24","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1023\/B:VISI.0000042993.50813.60","volume":"61","author":"JM Geusebroek","year":"2005","unstructured":"Geusebroek, J.M., Burghouts, G.J., Smeulders, W.M.: The amsterdam library of object images. IJCV 61(1), 103\u2013112 (2005)","journal-title":"IJCV"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-04182-3_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T15:21:57Z","timestamp":1709824917000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-04182-3_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030041816","9783030041823"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-04182-3_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"18 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Siem Reap","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambodia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conference.cs.cityu.edu.hk\/iconip\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"575","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"401","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"70% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}