{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:38:03Z","timestamp":1743111483251,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":32,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642337178"},{"type":"electronic","value":"9783642337185"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-33718-5_46","type":"book-chapter","created":{"date-parts":[[2012,9,26]],"date-time":"2012-09-26T04:06:45Z","timestamp":1348632405000},"page":"640-653","source":"Crossref","is-referenced-by-count":2,"title":["Auto-Grouped Sparse Representation for Visual Analysis"],"prefix":"10.1007","author":[{"given":"Jiashi","family":"Feng","sequence":"first","affiliation":[]},{"given":"Xiaotong","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Zilei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Huan","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Shuicheng","family":"Yan","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"46_CR1","unstructured":"Fei-Fei, L., Perona, P.: A bayesian hierarchical model for learning natural scene categories. In: CVPR (2005)"},{"key":"46_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1007\/978-3-642-15561-1_11","volume-title":"Computer Vision \u2013 ECCV 2010","author":"F. Perronnin","year":"2010","unstructured":"Perronnin, F., S\u00e1nchez, J., Mensink, T.: Improving the Fisher Kernel for Large-Scale Image Classification. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. LNCS, vol.\u00a06314, pp. 143\u2013156. Springer, Heidelberg (2010)"},{"key":"46_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/978-3-642-15555-0_9","volume-title":"Computer Vision \u2013 ECCV 2010","author":"J. Yang","year":"2010","unstructured":"Yang, J., Yu, K., Huang, T.: Efficient Highly Over-Complete Sparse Coding Using a Mixture Model. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol.\u00a06315, pp. 113\u2013126. Springer, Heidelberg (2010)"},{"key":"46_CR4","doi-asserted-by":"crossref","unstructured":"Li, F., Carreira, J., Sminchisescu, C.: Object recognition as ranking holistic figure-ground hypotheses. In: CVPR (2010)","DOI":"10.1109\/CVPR.2010.5539839"},{"key":"46_CR5","doi-asserted-by":"crossref","unstructured":"Song, Z., Chen, Q., Huang, Z., Hua, Y., Yan, S.: Contextualizing object detection and classification. In: CVPR (2011)","DOI":"10.1109\/CVPR.2011.5995330"},{"key":"46_CR6","doi-asserted-by":"crossref","unstructured":"Wright, J., Yang, A., Ganesh, A., Sastry, S., Ma, Y.: Robust face recognition via sparse representation. TPAMI (2008)","DOI":"10.1109\/AFGR.2008.4813404"},{"key":"46_CR7","doi-asserted-by":"crossref","unstructured":"Yuan, X., Yan, S.: Visual classification with multi-task joint sparse representation. In: CVPR (2010)","DOI":"10.1109\/CVPR.2010.5539967"},{"key":"46_CR8","doi-asserted-by":"crossref","unstructured":"Wright, J., Ma, Y., Mairal, J., Sapiro, G., Huang, T., Yan, S.: Sparse representation for computer vision and pattern recognition. IEEE (2010)","DOI":"10.21236\/ADA513248"},{"key":"46_CR9","doi-asserted-by":"crossref","unstructured":"Elhamifar, E., Vidal, R.: Sparse subspace clustering. In: CVPR (2009)","DOI":"10.1109\/CVPR.2009.5206547"},{"key":"46_CR10","doi-asserted-by":"crossref","unstructured":"Liu, D., Yan, S., Rui, Y., Zhang, H.: Unified tag analysis with multi-edge graph. In: MM (2010)","DOI":"10.1145\/1873951.1873958"},{"key":"46_CR11","doi-asserted-by":"crossref","unstructured":"Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the em algorithm. J Roy. Stat. Soc. B Met. (1977)","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"46_CR12","doi-asserted-by":"crossref","unstructured":"Vidal, R., Ma, Y., Sastry, S.: Generalized principal component analysis (gpca). TPAMI (2005)","DOI":"10.1109\/TPAMI.2005.244"},{"key":"46_CR13","doi-asserted-by":"crossref","unstructured":"Gaffney, S., Smyth, P.: Trajectory clustering with mixtures of regression models. In: KDD (1999)","DOI":"10.1145\/312129.312198"},{"key":"46_CR14","unstructured":"Quadrianto, N., Caetano, T., Lim, J., Schuurmans, D.: Convex relaxation of mixture regression with efficient algorithms. In: NIPS (2009)"},{"key":"46_CR15","unstructured":"Hocking, T., Vert, J., Bach, F., Joulin, A.: Clusterpath: an algorithm for clustering using convex fusion penalties. In: ICML (2011)"},{"key":"46_CR16","doi-asserted-by":"crossref","unstructured":"Shen, X., Huang, H.: Grouping pursuit through a regularization solution surface. J Am. Stat. Assoc. (2010)","DOI":"10.1198\/jasa.2010.tm09380"},{"key":"46_CR17","unstructured":"Vert, J., Bleakley, K.: Fast detection of multiple change-points shared by many signals using group lars. In: NIPS (2010)"},{"key":"46_CR18","doi-asserted-by":"crossref","unstructured":"Nesterov, Y.: Smooth minimization of non-smooth functions. Math. Program. (2005)","DOI":"10.1007\/s10107-004-0552-5"},{"key":"46_CR19","unstructured":"Ng, A., Jordan, M., Weiss, Y.: On spectral clustering: Analysis and an algorithm. In: NIPS (2001)"},{"key":"46_CR20","doi-asserted-by":"crossref","unstructured":"Boyd, S., Vandenberghe, L.: Convex optimization. Cambridge Univ. Pr. (2004)","DOI":"10.1017\/CBO9780511804441"},{"key":"46_CR21","doi-asserted-by":"crossref","unstructured":"Duchi, J., Shalev-Shwartz, S., Singer, Y., Chandra, T.: Efficient projections onto the \u21131-ball for learning in high dimensions. In: ICML (2008)","DOI":"10.1145\/1390156.1390191"},{"key":"46_CR22","unstructured":"Tseng, P.: On accelerated proximal gradient methods for convex-concave optimization. Submitted to SIAM J. Optimiz. (2008)"},{"key":"46_CR23","unstructured":"Subramanya, A., Bilmes, J.: Entropic graph regularization in non-parametric semi-supervised classification. In: NIPS (2009)"},{"key":"46_CR24","unstructured":"Zhu, X., Ghahramani, Z.: Learning from labeled and unlabeled data with label propagation. Tech. Rep. (2002)"},{"key":"46_CR25","doi-asserted-by":"crossref","unstructured":"Yan, S., Wang, H.: Semi-supervised learning by sparse representation. In: SDM (2009)","DOI":"10.1137\/1.9781611972795.68"},{"key":"46_CR26","doi-asserted-by":"crossref","unstructured":"Yan, S., Xu, D., Zhang, B., Zhang, H., Yang, Q., Lin, S.: Graph embedding and extensions: A general framework for dimensionality reduction. TPAMI (2007)","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"46_CR27","doi-asserted-by":"crossref","unstructured":"Chua, T., Tang, J., Hong, R., Li, H., Luo, Z., Zheng, Y.: Nus-wide: a real-world web image database from national university of singapore. In: CIVR (2009)","DOI":"10.1145\/1646396.1646452"},{"key":"46_CR28","doi-asserted-by":"crossref","unstructured":"Chen, X., Yuan, X., Chen, Q., Yan, S., Chua, T.: Multi-label visual classification with label exclusive context. In: ICCV (2011)","DOI":"10.1109\/ICCV.2011.6126323"},{"key":"46_CR29","unstructured":"Hartley, R., Zisserman, A.: Multiple view geometry in computer vision. Cambridge Univ. Press (2000)"},{"key":"46_CR30","doi-asserted-by":"crossref","unstructured":"Tron, R., Vidal, R.: A benchmark for the comparison of 3-d motion segmentation algorithms. In: CVPR (2007)","DOI":"10.1109\/CVPR.2007.382974"},{"key":"46_CR31","doi-asserted-by":"crossref","unstructured":"Fischler, M., Bolles, R.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM (1981)","DOI":"10.1145\/358669.358692"},{"key":"46_CR32","doi-asserted-by":"crossref","unstructured":"Elhamifar, E., Vidal, R.: Sparse subspace clustering. In: CVPR (2009)","DOI":"10.1109\/CVPR.2009.5206547"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2012"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-33718-5_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T08:33:41Z","timestamp":1575275621000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-33718-5_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642337178","9783642337185"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-33718-5_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}