{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:34:34Z","timestamp":1742913274281,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":45,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819784868"},{"type":"electronic","value":"9789819784875"}],"license":[{"start":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T00:00:00Z","timestamp":1730678400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T00:00:00Z","timestamp":1730678400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-97-8487-5_31","type":"book-chapter","created":{"date-parts":[[2024,11,3]],"date-time":"2024-11-03T07:02:59Z","timestamp":1730617379000},"page":"445-460","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Learning Fully Parametric Subspace Clustering"],"prefix":"10.1007","author":[{"given":"Xuanrong","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianjun","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuo","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangyu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,4]]},"reference":[{"issue":"8","key":"31_CR1","first-page":"1669","volume":"45","author":"D Cai","year":"2015","unstructured":"Cai, D., Chen, X.: Large scale spectral clustering via landmark-based sparse representation. TCYB 45(8), 1669\u20131680 (2015)","journal-title":"TCYB"},{"key":"31_CR2","doi-asserted-by":"crossref","unstructured":"Cai, J., Fan, J., Guo, W., Wang, S., Zhang, Y., Zhang, Z.: Efficient deep embedded subspace clustering. In: CVPR, pp. 1\u201310 (2022)","DOI":"10.1109\/CVPR52688.2022.00012"},{"key":"31_CR3","unstructured":"Chang, J., Guo, Y., Wang, L., Meng, G., Xiang, S., Pan, C.: Deep discriminative clustering analysis. arXiv:1905.01681 (2019)"},{"key":"31_CR4","doi-asserted-by":"crossref","unstructured":"Chang, J., Meng, G., Wang, L., Xiang, S., Pan, C.: Deep self-evolution clustering. TPAMI 42(4), 809\u2013823 (2018)","DOI":"10.1109\/TPAMI.2018.2889949"},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Chang, J., Wang, L., Meng, G., Xiang, S., Pan, C.: Deep adaptive image clustering. In: ICCV, pp. 5879\u20135887 (2017)","DOI":"10.1109\/ICCV.2017.626"},{"issue":"3","key":"31_CR6","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/s11263-008-0178-9","volume":"81","author":"G Chen","year":"2009","unstructured":"Chen, G., Lerman, G.: Spectral curvature clustering (SCC). Int. J. Comput. Vision 81(3), 317\u2013330 (2009)","journal-title":"Int. J. Comput. Vision"},{"issue":"3","key":"31_CR7","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1109\/TPAMI.2010.88","volume":"33","author":"WY Chen","year":"2010","unstructured":"Chen, W.Y., Song, Y., Bai, H., Lin, C.J.: Parallel spectral clustering in distributed systems. TPAMI 33(3), 568\u2013586 (2010)","journal-title":"TPAMI"},{"key":"31_CR8","doi-asserted-by":"crossref","unstructured":"Chen, Y., Li, C.G., You, C.: Stochastic sparse subspace clustering. In: CVPR, pp. 4155\u20134164 (2020)","DOI":"10.1109\/CVPR42600.2020.00421"},{"key":"31_CR9","doi-asserted-by":"crossref","unstructured":"Elhamifar, E., Sapiro, G., Sastry, S.S.: Dissimilarity-based sparse subset selection. TPAMI 38(11), 2182\u20132197 (2016)","DOI":"10.1109\/TPAMI.2015.2511748"},{"issue":"11","key":"31_CR10","doi-asserted-by":"publisher","first-page":"2765","DOI":"10.1109\/TPAMI.2013.57","volume":"35","author":"E Elhamifar","year":"2013","unstructured":"Elhamifar, E., Vidal, R.: Sparse subspace clustering: algorithm, theory, and applications. TPAMI 35(11), 2765\u20132781 (2013)","journal-title":"TPAMI"},{"key":"31_CR11","doi-asserted-by":"crossref","unstructured":"Fan, J.: Large-scale subspace clustering via k-factorization. In: SIGKDD, pp. 342\u2013352 (2021)","DOI":"10.1145\/3447548.3467267"},{"issue":"2","key":"31_CR12","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1109\/TPAMI.2004.1262185","volume":"26","author":"C Fowlkes","year":"2004","unstructured":"Fowlkes, C., Belongie, S., Chung, F., Malik, J.: Spectral grouping using the nystrom method. TPAMI 26(2), 214\u2013225 (2004)","journal-title":"TPAMI"},{"key":"31_CR13","doi-asserted-by":"crossref","unstructured":"Huang, J., Gong, S., Zhu, X.: Deep semantic clustering by partition confidence maximisation. In: CVPR, pp. 8849\u20138858 (2020)","DOI":"10.1109\/CVPR42600.2020.00887"},{"key":"31_CR14","first-page":"849","volume":"14","author":"MI Jordan","year":"2002","unstructured":"Jordan, M.I., Weiss, Y.: On spectral clustering: analysis and an algorithm. NeurIPS 14, 849\u2013856 (2002)","journal-title":"NeurIPS"},{"key":"31_CR15","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv:1412.6980 (2014)"},{"issue":"6","key":"31_CR16","first-page":"2988","volume":"26","author":"CG Li","year":"2017","unstructured":"Li, C.G., You, C., Vidal, R.: Structured sparse subspace clustering: a joint affinity learning and subspace clustering framework. TIP 26(6), 2988\u20133001 (2017)","journal-title":"TIP"},{"key":"31_CR17","doi-asserted-by":"crossref","unstructured":"Li, H., Zhang, L., Su, K.: Dual mutual information constraints for discriminative clustering. In: AAAI, vol.\u00a037, pp. 8571\u20138579 (2023)","DOI":"10.1609\/aaai.v37i7.26032"},{"key":"31_CR18","doi-asserted-by":"crossref","unstructured":"Li, J., Liu, H., Tao, Z., Zhao, H., Fu, Y.: Learnable subspace clustering. TNNLS 33(3), 1119\u20131133 (2022)","DOI":"10.1109\/TNNLS.2020.3040379"},{"key":"31_CR19","doi-asserted-by":"crossref","unstructured":"Li, J., Liu, H., Zhao, H., Fu, Y.: Projective low-rank subspace clustering via learning deep encoder. In: IJCAI, pp. 2145\u20132151 (2017)","DOI":"10.24963\/ijcai.2017\/298"},{"issue":"9","key":"31_CR20","first-page":"9090","volume":"52","author":"J Li","year":"2021","unstructured":"Li, J., Tao, Z., Wu, Y., Zhong, B., Fu, Y.: Large-scale subspace clustering by independent distributed and parallel coding. TCYB 52(9), 9090\u20139100 (2021)","journal-title":"TCYB"},{"issue":"6","key":"31_CR21","first-page":"1425","volume":"28","author":"J Li","year":"2017","unstructured":"Li, J., Zhang, T., Luo, W., Yang, J., Yuan, X., Zhang, J.: Sparseness analysis in the pertraining of deep neural networks. TNNLS 28(6), 1425\u20131438 (2017)","journal-title":"TNNLS"},{"key":"31_CR22","doi-asserted-by":"crossref","unstructured":"Li, Y., Hu, P., Liu, Z., Peng, D., Zhou, J.T., Peng, X.: Contrastive clustering. AAAI 35, 8547\u20138555 (2021)","DOI":"10.1609\/aaai.v35i10.17037"},{"issue":"1","key":"31_CR23","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1109\/TPAMI.2012.88","volume":"35","author":"G Liu","year":"2012","unstructured":"Liu, G., Lin, Z., Yan, S., Sun, J., Yu, Y., Ma, Y.: Robust recovery of subspace structures by low-rank representation. TPAMI 35(1), 171\u2013184 (2012)","journal-title":"TPAMI"},{"key":"31_CR24","doi-asserted-by":"crossref","unstructured":"Liu, G., Yan, S.: Latent low-rank representation for subspace segmentation and feature extraction. In: ICCV, pp. 1615\u20131622 (2011)","DOI":"10.1109\/ICCV.2011.6126422"},{"key":"31_CR25","unstructured":"Loshchilov, I., Hutter, F.: Sgdr: Stochastic gradient descent with warm restarts. arXiv:1608.03983 (2016)"},{"key":"31_CR26","doi-asserted-by":"crossref","unstructured":"Lu, C.Y., Min, H., Zhao, Z.Q., Zhu, L., Huang, D.S., Yan, S.: Robust and efficient subspace segmentation via least squares regression. In: ECCV, pp. 347\u2013360. Springer (2012)","DOI":"10.1007\/978-3-642-33786-4_26"},{"key":"31_CR27","doi-asserted-by":"crossref","unstructured":"Lv, J., Kang, Z., Lu, X., Xu, Z.: Pseudo-supervised deep subspace clustering. TIP 30, 5252\u20135263 (2021)","DOI":"10.1109\/TIP.2021.3079800"},{"key":"31_CR28","unstructured":"MacQueen, J.: Classification and analysis of multivariate observations. In: SMSP, pp. 281\u2013297 (1967)"},{"issue":"11","key":"31_CR29","first-page":"1796","volume":"22","author":"F Nie","year":"2011","unstructured":"Nie, F., Zeng, Z., Tsang, I.W., Xu, D., Zhang, C.: Spectral embedded clustering: a framework for in-sample and out-of-sample spectral clustering. TNN 22(11), 1796\u20131808 (2011)","journal-title":"TNN"},{"key":"31_CR30","doi-asserted-by":"crossref","unstructured":"Niu, C., Shan, H., Wang, G.: Spice: semantic pseudo-labeling for image clustering. TIP (2022)","DOI":"10.1109\/TIP.2022.3221290"},{"issue":"12","key":"31_CR31","first-page":"2499","volume":"27","author":"X Peng","year":"2016","unstructured":"Peng, X., Tang, H.J., Zhang, L., Zhang, Y., Xiao, S.J.: A unified framework for representation-based subspace clustering of out-of-sample and large-scale data. TNNLS 27(12), 2499\u20132512 (2016)","journal-title":"TNNLS"},{"key":"31_CR32","doi-asserted-by":"crossref","unstructured":"Peng, X., Feng, J., Zhou, J.T., Lei, Y., Yan, S.: Deep subspace clustering. TNNLS 31(12), 5509\u20135521 (2020)","DOI":"10.1109\/TNNLS.2020.2968848"},{"issue":"12","key":"31_CR33","first-page":"2499","volume":"27","author":"X Peng","year":"2015","unstructured":"Peng, X., Tang, H., Zhang, L., Yi, Z., Xiao, S.: A unified framework for representation-based subspace clustering of out-of-sample and large-scale data. TNNLS 27(12), 2499\u20132512 (2015)","journal-title":"TNNLS"},{"key":"31_CR34","doi-asserted-by":"crossref","unstructured":"Qian, Q.: Stable cluster discrimination for deep clustering. In: ICCV, pp. 16645\u201316654 (2023)","DOI":"10.1109\/ICCV51070.2023.01526"},{"key":"31_CR35","doi-asserted-by":"crossref","unstructured":"Reddi, S., Hefny, A., Sra, S., Poczos, B., Smola, A.: Stochastic variance reduction for nonconvex optimization. In: ICML (2016)","DOI":"10.1109\/ALLERTON.2016.7852377"},{"key":"31_CR36","unstructured":"Ripley, B.D.: Pattern Recognition and Neural Networks. Cambridge university press (2007)"},{"issue":"9","key":"31_CR37","doi-asserted-by":"publisher","first-page":"1821","DOI":"10.1109\/TPAMI.2015.2392779","volume":"37","author":"P Sprechmann","year":"2015","unstructured":"Sprechmann, P., Bronstein, A.M.: Learning efficient sparse and low rank models. TPAMI 37(9), 1821\u20131833 (2015)","journal-title":"TPAMI"},{"key":"31_CR38","unstructured":"Tao, Y., Takagi, K., Nakata, K.: Clustering-friendly representation learning via instance discrimination and feature decorrelation. arXiv:2106.00131 (2021)"},{"key":"31_CR39","unstructured":"Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y.: Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. JMLR 11(12) (2010)"},{"key":"31_CR40","doi-asserted-by":"crossref","unstructured":"Wang, S., Tu, B., Xu, C., Zhang, Z.: Exact subspace clustering in linear time. In: AAAI, vol.\u00a028 (2014)","DOI":"10.1609\/aaai.v28i1.8963"},{"key":"31_CR41","doi-asserted-by":"crossref","unstructured":"Wu, J., Long, K., Wang, F., Qian, C., Li, C., Lin, Z., Zha, H.: Deep comprehensive correlation mining for image clustering. In: ICCV, pp. 8150\u20138159 (2019)","DOI":"10.1109\/ICCV.2019.00824"},{"key":"31_CR42","doi-asserted-by":"crossref","unstructured":"You, C., Li, C., Robinson, D.P.: Scalable exemplar-based subspace clustering on class-imbalanced data. In: ECCV, pp. 67\u201383 (2018)","DOI":"10.1007\/978-3-030-01240-3_5"},{"key":"31_CR43","doi-asserted-by":"crossref","unstructured":"You, C., Li, C.G., Robinson, D.P.: Oracle based active set algorithm for scalable elastic net subspace clustering. In: CVPR, pp. 3928\u20133937 (2016)","DOI":"10.1109\/CVPR.2016.426"},{"key":"31_CR44","doi-asserted-by":"crossref","unstructured":"Zhang, S., You, C., Vidal, R., Li, C.G.: Learning a self-expressive network for subspace clustering. In: CVPR, pp. 12393\u201312403 (2021)","DOI":"10.1109\/CVPR46437.2021.01221"},{"key":"31_CR45","unstructured":"Zhang, T., Ji, P., Harandi, M., Huang, W., Li, H.: Neural collaborative subspace clustering. In: ICML, pp. 7384\u20137393 (2019)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-8487-5_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,3]],"date-time":"2024-11-03T07:10:13Z","timestamp":1730617813000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-8487-5_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,4]]},"ISBN":["9789819784868","9789819784875"],"references-count":45,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-8487-5_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,4]]},"assertion":[{"value":"4 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Urumqi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2024.prcv.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}