{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:39:20Z","timestamp":1743043160086,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030348786"},{"type":"electronic","value":"9783030348793"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-34879-3_23","type":"book-chapter","created":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T06:03:03Z","timestamp":1573538583000},"page":"296-309","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multiview Dimension Reduction Based on Sparsity Preserving Projections"],"prefix":"10.1007","author":[{"given":"Haohao","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guohui","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hu","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixun","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ximin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,11]]},"reference":[{"key":"23_CR1","first-page":"1","volume":"18","author":"S Balakrishnama","year":"1998","unstructured":"Balakrishnama, S., Ganapathiraju, A.: Linear discriminant analysis-a brief tutorial. Inst. Signal Inf. Process. 18, 1\u20138 (1998)","journal-title":"Inst. Signal Inf. Process."},{"issue":"6","key":"23_CR2","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1162\/089976603321780317","volume":"15","author":"M Belkin","year":"2003","unstructured":"Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput. 15(6), 1373\u20131396 (2003)","journal-title":"Neural Comput."},{"doi-asserted-by":"crossref","unstructured":"Cai, D., He, X., Han, J.: Spectral regression: a unified approach for sparse subspace learning. In: Seventh IEEE International Conference on Data Mining (ICDM 2007), pp. 73\u201382. IEEE (2007)","key":"23_CR3","DOI":"10.1109\/ICDM.2007.89"},{"doi-asserted-by":"crossref","unstructured":"Cai, D., He, X., Zhou, K., Han, J., Bao, H.: Locality sensitive discriminant analysis. In: IJCAI, vol. 2007, pp. 1713\u20131726 (2007)","key":"23_CR4","DOI":"10.1109\/ICCV.2007.4408856"},{"doi-asserted-by":"crossref","unstructured":"Cao, X., Zhang, C., Fu, H., Liu, S., Zhang, H.: Diversity-induced multi-view subspace clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 586\u2013594 (2015)","key":"23_CR5","DOI":"10.1109\/CVPR.2015.7298657"},{"issue":"5","key":"23_CR6","doi-asserted-by":"publisher","first-page":"1055","DOI":"10.1109\/72.788646","volume":"10","author":"O Chapelle","year":"1999","unstructured":"Chapelle, O., Haffner, P., Vapnik, V.: Support vector machines for histogram-based image classification. IEEE Trans. Neural Networks 10(5), 1055\u20131064 (1999)","journal-title":"IEEE Trans. Neural Networks"},{"unstructured":"Dhillon, P., Foster, D.P., Ungar, L.H.: Multi-view learning of word embeddings via CCA. In: Advances in Neural Information Processing Systems, pp. 199\u2013207 (2011)","key":"23_CR7"},{"issue":"10","key":"23_CR8","doi-asserted-by":"publisher","first-page":"3179","DOI":"10.1016\/j.patcog.2008.03.025","volume":"41","author":"X Gao","year":"2008","unstructured":"Gao, X., Xiao, B., Tao, D., Li, X.: Image categorization: graph edit direction histogram. Pattern Recogn. 41(10), 3179\u20133191 (2008)","journal-title":"Pattern Recogn."},{"key":"23_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/11564089_7","volume-title":"Algorithmic Learning Theory","author":"A Gretton","year":"2005","unstructured":"Gretton, A., Bousquet, O., Smola, A., Sch\u00f6lkopf, B.: Measuring statistical dependence with Hilbert-Schmidt norms. In: Jain, S., Simon, H.U., Tomita, E. (eds.) ALT 2005. LNCS (LNAI), vol. 3734, pp. 63\u201377. Springer, Heidelberg (2005). \nhttps:\/\/doi.org\/10.1007\/11564089_7"},{"unstructured":"He, X., Cai, D., Yan, S., Zhang, H.J.: Neighborhood preserving embedding. In: Tenth IEEE International Conference on Computer Vision (ICCV 2005) Volume 1, vol. 2, pp. 1208\u20131213. IEEE (2005)","key":"23_CR10"},{"unstructured":"He, X., Niyogi, P.: Locality preserving projections. In: Advances in Neural Information Processing Systems, pp. 153\u2013160 (2004)","key":"23_CR11"},{"doi-asserted-by":"crossref","unstructured":"Hu, H., Lin, Z., Feng, J., Zhou, J.: Smooth representation clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3834\u20133841 (2014)","key":"23_CR12","DOI":"10.1109\/CVPR.2014.484"},{"unstructured":"Joachims, T.: Transductive inference for text classification using support vector machines (1999)","key":"23_CR13"},{"issue":"1","key":"23_CR14","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1109\/TPAMI.2015.2435740","volume":"38","author":"M Kan","year":"2015","unstructured":"Kan, M., Shan, S., Zhang, H., Lao, S., Chen, X.: Multi-view discriminant analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(1), 188\u2013194 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"unstructured":"Kumar, A., Rai, P., Daume, H.: Co-regularized multi-view spectral clustering. In: Advances in Neural Information Processing Systems, pp. 1413\u20131421 (2011)","key":"23_CR15"},{"issue":"2","key":"23_CR16","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vision"},{"issue":"5","key":"23_CR17","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1080\/01431160600746456","volume":"28","author":"D Lu","year":"2007","unstructured":"Lu, D., Weng, Q.: A survey of image classification methods and techniques for improving classification performance. Int. J. Remote Sensing 28(5), 823\u2013870 (2007)","journal-title":"Int. J. Remote Sensing"},{"issue":"3","key":"23_CR18","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1109\/TIP.2017.2754939","volume":"27","author":"F Nie","year":"2017","unstructured":"Nie, F., Cai, G., Li, J., Li, X.: Auto-weighted multi-view learning for image clustering and semi-supervised classification. IEEE Trans. Image Process. 27(3), 1501\u20131511 (2017)","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"23_CR19","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. Pattern Anal. Mach. Intell. 24(7), 971\u2013987 (2002). \nhttps:\/\/doi.org\/10.1109\/TPAMI.2002.1017623","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"23_CR20","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/j.patcog.2009.05.005","volume":"43","author":"L Qiao","year":"2010","unstructured":"Qiao, L., Chen, S., Tan, X.: Sparsity preserving projections with applications to face recognition. Pattern Recogn. 43(1), 331\u2013341 (2010)","journal-title":"Pattern Recogn."},{"issue":"5500","key":"23_CR21","doi-asserted-by":"publisher","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","volume":"290","author":"ST Roweis","year":"2000","unstructured":"Roweis, S.T., Saul, L.K.: Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500), 2323\u20132326 (2000)","journal-title":"Science"},{"issue":"2","key":"23_CR22","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.neucom.2012.02.024","volume":"91","author":"D Tao","year":"2012","unstructured":"Tao, D., Jin, L.: Discriminative information preservation for face recognition. Neurocomputing 91(2), 11\u201320 (2012)","journal-title":"Neurocomputing"},{"issue":"8","key":"23_CR23","doi-asserted-by":"publisher","first-page":"1579","DOI":"10.1109\/TMM.2016.2569412","volume":"18","author":"H Wang","year":"2016","unstructured":"Wang, H., Feng, L., Zhang, J., Liu, Y.: Semantic discriminative metric learning for image similarity measurement. IEEE Trans. Multimedia 18(8), 1579\u20131589 (2016). \nhttps:\/\/doi.org\/10.1109\/TMM.2016.2569412","journal-title":"IEEE Trans. Multimedia"},{"key":"23_CR24","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1016\/j.neucom.2016.07.044","volume":"216","author":"H Wang","year":"2016","unstructured":"Wang, H., Feng, L., Yu, L., Zhang, J.: Multi-view sparsity preserving projection for dimension reduction. Neurocomputing 216, 286\u2013295 (2016)","journal-title":"Neurocomputing"},{"doi-asserted-by":"crossref","unstructured":"Wang, H., Li, H., Fu, X.: Auto-weighted mutli-view sparse reconstructive embedding. Multimedia Tools Appl. 1\u201315 (2019)","key":"23_CR25","DOI":"10.1007\/s11042-019-07789-6"},{"doi-asserted-by":"crossref","unstructured":"Wang, H., Li, H., Peng, J., Fu, X.: Multi-feature distance metric learning for non-rigid 3D shape retrieval. Multimedia Tools Appl. 1\u201316 (2019)","key":"23_CR26","DOI":"10.1007\/s11042-019-7670-9"},{"issue":"C","key":"23_CR27","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.neucom.2017.01.062","volume":"238","author":"H Wang","year":"2017","unstructured":"Wang, H., Lin, F., Meng, X., Chen, Z., Yu, L., Zhang, H.: Multi-view metric learning based on KL-divergence for similarity measurement. Neurocomputing 238(C), 269\u2013276 (2017)","journal-title":"Neurocomputing"},{"key":"23_CR28","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.neucom.2019.03.080","volume":"347","author":"H Wang","year":"2019","unstructured":"Wang, H., Peng, J., Fu, X.: Co-regularized multi-view sparse reconstruction embedding for dimension reduction. Neurocomputing 347, 191\u2013199 (2019)","journal-title":"Neurocomputing"},{"issue":"1","key":"23_CR29","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/0169-7439(87)80084-9","volume":"2","author":"S Wold","year":"1987","unstructured":"Wold, S.: Principal component analysis. Chemometr. Intell. Lab. Syst. 2(1), 37\u201352 (1987)","journal-title":"Chemometr. Intell. Lab. Syst."},{"issue":"2","key":"23_CR30","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1109\/TPAMI.2008.79","volume":"31","author":"J Wright","year":"2008","unstructured":"Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. 31(2), 210\u2013227 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"23_CR31","doi-asserted-by":"publisher","first-page":"1438","DOI":"10.1109\/TSMCB.2009.2039566","volume":"40","author":"T Xia","year":"2010","unstructured":"Xia, T., Tao, D., Mei, T., Zhang, Y.: Multiview spectral embedding. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 40(6), 1438\u20131446 (2010)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B (Cybern.)"},{"unstructured":"Xu, C., Tao, D., Xu, C.: A survey on multi-view learning. arXiv preprint \narXiv:1304.5634\n\n (2013)","key":"23_CR32"},{"issue":"11","key":"23_CR33","doi-asserted-by":"publisher","first-page":"2811","DOI":"10.1109\/TIP.2007.906769","volume":"16","author":"D Xu","year":"2007","unstructured":"Xu, D., Yan, S., Tao, D., Lin, S., Zhang, H.J.: Marginal fisher analysis and its variants for human gait recognition and content-based image retrieval. IEEE Trans. Image Process. 16(11), 2811\u20132821 (2007)","journal-title":"IEEE Trans. Image Process."},{"unstructured":"Yang, J., Kai, Y., Gong, Y., Huang, T.: Linear spatial pyramid matching using sparse coding for image classification. In: CVPR, pp. 1794\u20131801 (2009)","key":"23_CR34"},{"issue":"1","key":"23_CR35","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1137\/S1064827502419154","volume":"26","author":"Z Zhang","year":"2004","unstructured":"Zhang, Z., Zha, H.: Principal manifolds and nonlinear dimensionality reduction via tangent space alignment. SIAM J. Sci. Comput. 26(1), 313\u2013338 (2004)","journal-title":"SIAM J. Sci. Comput."},{"key":"23_CR36","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.inffus.2017.02.007","volume":"38","author":"J Zhao","year":"2017","unstructured":"Zhao, J., Xie, X., Xu, X., Sun, S.: Multi-view learning overview: recent progress and new challenges. Inf. Fusion 38, 43\u201354 (2017)","journal-title":"Inf. Fusion"}],"container-title":["Lecture Notes in Computer Science","Image and Video Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-34879-3_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,15]],"date-time":"2020-03-15T08:38:01Z","timestamp":1584261481000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-34879-3_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030348786","9783030348793"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-34879-3_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"11 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PSIVT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Rim Symposium on Image and Video Technology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"psivt2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.psivt.org\/psivt2019\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"55","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":"31","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":"56% - 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":"3","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":"1.5","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}