{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T02:40:08Z","timestamp":1741401608685,"version":"3.38.0"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2011,8,2]],"date-time":"2011-08-02T00:00:00Z","timestamp":1312243200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2011,10]]},"DOI":"10.1007\/s11432-011-4344-2","type":"journal-article","created":{"date-parts":[[2011,8,2]],"date-time":"2011-08-02T15:43:16Z","timestamp":1312299796000},"page":"2051-2063","source":"Crossref","is-referenced-by-count":7,"title":["Group sparse representation for image categorization and semantic video retrieval"],"prefix":"10.1007","volume":"54","author":[{"given":"YaNan","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YueTing","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,8,2]]},"reference":[{"key":"4344_CR1","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1109\/TIT.2005.862083","volume":"52","author":"E. Candes","year":"2006","unstructured":"Candes E, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inform Theory, 2006, 52: 489\u2013509","journal-title":"IEEE Trans Inform Theory"},{"key":"4344_CR2","doi-asserted-by":"crossref","first-page":"5406","DOI":"10.1109\/TIT.2006.885507","volume":"52","author":"E. Candes","year":"2006","unstructured":"Candes E, Tao T. Near optimal signal recovery from random projections: Universal encoding strategies? IEEE Trans Inform Theory, 2006, 52: 5406\u20135425","journal-title":"IEEE Trans Inform Theory"},{"key":"4344_CR3","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","volume":"52","author":"D. Donoho","year":"2006","unstructured":"Donoho D. Compressed sensing. IEEE Trans Inform Theory, 2006, 52: 1289\u20131306","journal-title":"IEEE Trans Inform Theory"},{"key":"4344_CR4","doi-asserted-by":"crossref","unstructured":"Donoho D, Tanner J. Thresholds for the recovery of sparse solutions via l1 minimization. In: Conference on Information Sciences and Systems. 2006. 202\u2013206","DOI":"10.1109\/CISS.2006.286462"},{"key":"4344_CR5","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1109\/MSP.2007.915001","volume":"25","author":"V. K. Goyal","year":"2008","unstructured":"Goyal V K, Fletcher A K, Rangan S. Compressive sampling and lossy compression. IEEE Signal Proc Mag, 2008, 25: 48\u201356","journal-title":"IEEE Signal Proc Mag"},{"key":"4344_CR6","doi-asserted-by":"crossref","first-page":"1672","DOI":"10.1109\/TPAMI.2008.114","volume":"30","author":"N. Kwak","year":"2008","unstructured":"Kwak N. Principal component analysis based on l1-norm maximization. IEEE Trans Pattern Anal, 2008, 30: 1672\u20131680","journal-title":"IEEE Trans Pattern Anal"},{"key":"4344_CR7","doi-asserted-by":"crossref","first-page":"5695","DOI":"10.1109\/TSP.2007.900760","volume":"55","author":"M. Elad","year":"2007","unstructured":"Elad M. Optimized projections for compressed sensing. IEEE Trans Signal Proces, 2007, 55: 5695\u20135702","journal-title":"IEEE Trans Signal Proces"},{"key":"4344_CR8","doi-asserted-by":"crossref","unstructured":"Yang J C, Wright J, Huang T, et al. Image supre-resolution as sparse representation of raw image patches. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008). 2008. 1\u20138","DOI":"10.1109\/CVPR.2008.4587647"},{"key":"4344_CR9","doi-asserted-by":"crossref","unstructured":"Han Y H, Wu F, Jia J Z, et al. Multi-task sparse discriminant analysis (MtSDA) with overlapping categories. In: Proceeding of the 24th Conference on Artificial Intelligence (AAAI). 2010","DOI":"10.1609\/aaai.v24i1.7692"},{"key":"4344_CR10","doi-asserted-by":"crossref","first-page":"1110","DOI":"10.1109\/TCSVT.2010.2057015","volume":"20","author":"Y. H. Han","year":"2010","unstructured":"Han Y H, Wu F, He X F, et al. Multi-label transfer learning with sparse representation. IEEE Trans Circ Syst Vid, 2010, 20: 1110\u20131121","journal-title":"IEEE Trans Circ Syst Vid"},{"key":"4344_CR11","unstructured":"Han Y H, Wu F, Tian Q, et al. Multi-label boosting for image annotation by structural grouping sparsity. In: Proceedings of the International Conference on Multimedia (MM\u2019 10). New York: ACM. 15\u201324"},{"key":"4344_CR12","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1111\/j.1467-8659.2009.01401.x","volume":"28","author":"P. Sen","year":"2009","unstructured":"Sen P, Darabi S. Compressive dual photography. Comput Graph Forum, 2009, 28: 609\u2013618","journal-title":"Comput Graph Forum"},{"key":"4344_CR13","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1109\/TPAMI.2008.79","volume":"31","author":"J. Wright","year":"2009","unstructured":"Wright J, Yang A, Ganesh A, et al. Robust face recognition via sparse representation. IEEE Trans Pattern Anal, 2009, 31: 201\u2013227","journal-title":"IEEE Trans Pattern Anal"},{"key":"4344_CR14","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R. Tibshirani","year":"1996","unstructured":"Tibshirani R. Regression shrinkage and selection via the lasso. J Roy Stat Soc B, 1996, 58: 267\u2013288","journal-title":"J Roy Stat Soc B"},{"key":"4344_CR15","doi-asserted-by":"crossref","first-page":"1436","DOI":"10.1214\/009053606000000281","volume":"34","author":"N. Meinshausen","year":"2006","unstructured":"Meinshausen N, Buhlmann P. High-dimensional graphs and variable selection with the Lasso. Ann Stat, 2006, 34: 1436\u20131462","journal-title":"Ann Stat"},{"key":"4344_CR16","doi-asserted-by":"crossref","first-page":"373","DOI":"10.2307\/1269730","volume":"37","author":"L. Breiman","year":"1995","unstructured":"Breiman L. Better subset regression using the nonnegative garrote. Technometrics, 1995, 37: 373\u2013384","journal-title":"Technometrics"},{"key":"4344_CR17","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1111\/j.1467-9868.2005.00532.x","volume":"68","author":"M. Yuan","year":"2006","unstructured":"Yuan M, Lin Y. Model selection and estimation in regression with grouped variables. J Roy Stat Soc B, 2006, 68: 49\u201367","journal-title":"J Roy Stat Soc B"},{"key":"4344_CR18","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1111\/j.1467-9868.2007.00581.x","volume":"69","author":"M. Yuan","year":"2007","unstructured":"Yuan M, Lin Y. On the non-negative garrotte estimator. J Roy Stat Soc B, 2007, 69: 143\u2013161","journal-title":"J Roy Stat Soc B"},{"key":"4344_CR19","doi-asserted-by":"crossref","unstructured":"Ferrari V, Tuytelaars T, Gool L V. Simultaneous object recognition and segmentation by image exploration. In: Proceedings of 8th European Conference on Computer Vision. 2004. 40\u201354","DOI":"10.1007\/978-3-540-24670-1_4"},{"key":"4344_CR20","doi-asserted-by":"crossref","unstructured":"Grauman K, Darrell T. Efficient image matching with distributions of local invariant features. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2005). 2005. 627\u2013634","DOI":"10.1109\/CVPR.2005.138"},{"key":"4344_CR21","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1109\/TPAMI.2005.151","volume":"27","author":"S. Lazebnik","year":"2005","unstructured":"Lazebnik S, Schmid C, Ponce J. A sparse texture representation using local affine regions. IEEE Trans Pattern Anal, 2005, 27: 1265\u20131278","journal-title":"IEEE Trans Pattern Anal"},{"key":"4344_CR22","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1109\/34.589215","volume":"19","author":"C. Schmid","year":"1997","unstructured":"Schmid C, Mohr R. Local grayscale invariants for image retrieval. IEEE Trans Pattern Anal, 1997, 19: 530\u2013534","journal-title":"IEEE Trans Pattern Anal"},{"key":"4344_CR23","doi-asserted-by":"crossref","unstructured":"Fergus R, Perona P, Zisserman A. Object class recognition by unsupervised scale-invariant learning. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2003). 2003. 264\u2013271","DOI":"10.1109\/CVPR.2003.1211479"},{"key":"4344_CR24","doi-asserted-by":"crossref","first-page":"1615","DOI":"10.1109\/TPAMI.2005.188","volume":"27","author":"K. Mikolajczyk","year":"2005","unstructured":"Mikolajczyk K, Schmid C. A performance evaluation of local descriptors. IEEE Trans Pattern Anal, 2005, 27: 1615\u20131630","journal-title":"IEEE Trans Pattern Anal"},{"key":"4344_CR25","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"D. Lowe","year":"2004","unstructured":"Lowe D. Distinctive image features from scale-invariant keypoints. Int J Comput Vision, 2004, 60: 1150\u20131157","journal-title":"Int J Comput Vision"},{"key":"4344_CR26","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1109\/34.993558","volume":"2","author":"S. Belongie","year":"2002","unstructured":"Belongie S, Malik J, Puzicha J. Shape matching and object recognition using shape context. IEEE Trans Pattern Anal, 2002, 2: 509\u2013522","journal-title":"IEEE Trans Pattern Anal"},{"key":"4344_CR27","unstructured":"Ke Y, Sukthankar R. PCA-SIFT: a more distinctive representation for local image descriptors. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2004). 2004. 511\u2013517"},{"key":"4344_CR28","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1109\/34.93808","volume":"13","author":"W. Freeman","year":"1991","unstructured":"Freeman W, Adelson E. The design and use of steerable filters. IEEE Trans Pattern Anal, 1991, 13: 891\u2013906","journal-title":"IEEE Trans Pattern Anal"},{"key":"4344_CR29","doi-asserted-by":"crossref","unstructured":"Lowe D. Object recognition from local scale-invariant features. In: Proceedings of IEEE International Conference on Computer Vision. 1999. 1150\u20131157","DOI":"10.1109\/ICCV.1999.790410"},{"key":"4344_CR30","first-page":"1084","volume":"3617","author":"P. Loncomilla","year":"2005","unstructured":"Loncomilla P, Ruiz-del-Solar J. Improving SIFT-based object recognition for robot applications. LNCS, 2005, 3617: 1084\u20131092","journal-title":"LNCS"},{"key":"4344_CR31","doi-asserted-by":"crossref","unstructured":"Xing J, Miao Z J. An improved algorithm on image stitching based on SIFT features. In: 2nd International Conference on Innovative Computing, Informatio and Control (ICICIC 2007). 2007. 453","DOI":"10.1109\/ICICIC.2007.147"},{"key":"4344_CR32","doi-asserted-by":"crossref","unstructured":"Wu C C, Clipp B, Li X W, et al. 3D model matching with viewpoint-invariant patches. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008). 2008. 1\u20138","DOI":"10.1109\/CVPR.2008.4587501"},{"key":"4344_CR33","first-page":"335","volume":"4843","author":"T. K. Kim","year":"2007","unstructured":"Kim T K, Cipolla R. Gesture recognition under small sample size. LNCS, 2007, 4843: 335\u2013344","journal-title":"LNCS"},{"key":"4344_CR34","doi-asserted-by":"crossref","unstructured":"Battiato S, Gallo G, Puglisi G, et al. SIFT features tracking for video stabilization. In: Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007). 2007. 825\u2013830","DOI":"10.1109\/ICIAP.2007.4362878"},{"key":"4344_CR35","doi-asserted-by":"crossref","unstructured":"Dorko G, Schmid C. Selection of scale-invariant parts for object class recognition. In: IEEE Conference on Computer Vision (ICCV). 2003. 634\u2013639","DOI":"10.1109\/ICCV.2003.1238407"},{"key":"4344_CR36","doi-asserted-by":"crossref","unstructured":"Sivic J, Russell B, Efros A, et al. Discovering object categories in image collections. In: IEEE Conference on Computer Vision (ICCV). 2005. 370\u2013377","DOI":"10.1109\/ICCV.2005.77"},{"key":"4344_CR37","unstructured":"Li F F, Perona P. A bayesian hierarchical model for learning natural scene categories. In: IEEE Conference on Computer Vision and Pattern Recognition(CVPR). 2005. 524\u2013531"},{"key":"4344_CR38","doi-asserted-by":"crossref","unstructured":"Yang J, Jiang Y G, Hauptmann A G, et al. Evaluating bag-of-visual-words representations in scene classification. In: Proceedings of the International Workshop on Workshop on Multimedia Information Retrieval (MIR\u2019 07). 2007. 197\u2013206","DOI":"10.1145\/1290082.1290111"},{"key":"4344_CR39","doi-asserted-by":"crossref","unstructured":"Lazebnik S, Schmid C, Ponce J. Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In: IEEE Conference on Computer Vision and Pattern Recognition(CVPR). 2006. 2169\u20132178","DOI":"10.1109\/CVPR.2006.68"},{"key":"4344_CR40","doi-asserted-by":"crossref","unstructured":"Sivic J, Zisserman A. Video google: a text retrieval approach to object matching in videos. In: IEEE Conference on Computer Vision (ICCV). 2003. 1470\u20131477","DOI":"10.1109\/ICCV.2003.1238663"},{"key":"4344_CR41","doi-asserted-by":"crossref","unstructured":"Nowak E, Jurie E, Triggs B. Sampling strategies for bag-of-features image classification. In: European Conference on Computer Vision (ECCV). 2006. 490\u2013503","DOI":"10.1007\/11744085_38"},{"key":"4344_CR42","doi-asserted-by":"crossref","first-page":"972","DOI":"10.1126\/science.1136800","volume":"315","author":"B. J. Frey","year":"2007","unstructured":"Frey B J, Dueck D. Clustering by passing messages between data points. Science, 2007, 315: 972\u2013976","journal-title":"Science"},{"key":"4344_CR43","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TPAMI.2007.70716","volume":"30","author":"A. Bosch","year":"2008","unstructured":"Bosch A, Zisserman A, Munoz X. Scene classification using a hybrid generative\/dicriminative approach. IEEE Trans Pattern Anal, 2008, 30: 712\u2013727","journal-title":"IEEE Trans Pattern Anal"},{"key":"4344_CR44","unstructured":"Yang J C, Yu K, Gong Y H, et al. Linear spatial pyramid matching using sparse coding for image classification. In: IEEE Conference on Computer Vision and Pattern Recognition(CVPR). 2009. 1794\u20131801"},{"key":"4344_CR45","doi-asserted-by":"crossref","unstructured":"Wang C H, Yan S C, Zhang L, et al. Multi-label sparse coding for automatic image annotation. In: IEEE Conference on Computer Vision and Pattern Recognition(CVPR). 2009. 1643\u20131650","DOI":"10.1109\/CVPR.2009.5206866"},{"key":"4344_CR46","doi-asserted-by":"crossref","unstructured":"Morioka N, Satoh S. Learning directional local pairwise bases with sparse coding. In: Proceedings of the British Machine Vision Conference (BMVC). 2010. 32.1\u201332.11","DOI":"10.5244\/C.24.32"},{"key":"4344_CR47","doi-asserted-by":"crossref","unstructured":"Lu A, Hou X W, Chen X L, et al. Insect species recognition using sparse representation. In: Proceedings of the British Machine Vision Conference (BMVC). 2010. 108.1\u2013108.10","DOI":"10.5244\/C.24.108"},{"key":"4344_CR48","first-page":"421","volume-title":"Statistical Learning Theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik V. Statistical Learning Theory. New York: John Wiley and Sons, 1998. 421\u2013427"},{"key":"4344_CR49","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/978-0-387-21606-5","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"T. Hastie","year":"2001","unstructured":"Hastie T, Tishirani R, Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. New York: Springer-Verlag, 2001. 19\u201327"},{"key":"4344_CR50","first-page":"49","volume-title":"Matrix Computations","author":"G. H. Golub","year":"1996","unstructured":"Golub G H, Loan C F V. Matrix Computations. 3rd ed. Baltimore: Johns Hopkins University Press, 1996. 49\u201350","edition":"3rd ed"},{"key":"4344_CR51","first-page":"407","volume":"32","author":"B. Efron","year":"2004","unstructured":"Efron B, Johnstone I, Hastie T, et al. Least angle regression. Ann Stat(with discussions), 2004, 32: 407\u2013499","journal-title":"Ann Stat(with discussions)"},{"key":"4344_CR52","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1214\/07-AOAS131","volume":"2","author":"J. H. Friedman","year":"2007","unstructured":"Friedman J H, Hastie T, Hoefling H, et al. Pathwise coordinate optimization. Ann Appl Stat, 2007, 2: 302\u2013332","journal-title":"Ann Appl Stat"},{"key":"4344_CR53","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/S0304-3975(97)00115-1","volume":"209","author":"E. Amaldi","year":"1998","unstructured":"Amaldi E, Kann V. On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems. Theor Comput Sci, 1998, 209: 237\u2013260","journal-title":"Theor Comput Sci"},{"key":"4344_CR54","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1002\/cpa.20131","volume":"59","author":"D. L. Donoho","year":"2006","unstructured":"Donoho D L. For most large underdetermined systems of equations, the minimal l1-norm near-solution approximates the sparsest near-solution. Commun Pur Appl Math, 2006, 59: 907\u2013934","journal-title":"Commun Pur Appl Math"},{"key":"4344_CR55","unstructured":"Li F F, Fergus R, Perona P. Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories. In: IEEE Conference Computer Vision and Pattern Recognition (CVPR), Workshop on Generative-Model Based Vision. 2004. 178"},{"key":"4344_CR56","unstructured":"Everingham M, Van Gool, L, Williams C K, et al. The PASCAL visual object classes challenge 2008 (VOC2008) results. http:\/\/www.pascal-network.org\/challenges\/VOC\/voc2008\/workshop\/index.html"},{"key":"4344_CR57","unstructured":"TREVID. http:\/\/www-nlpir.nist.gov\/projects\/trevid\/ ."},{"key":"4344_CR58","unstructured":"LSCOM Lexicon Definitions and Annotations Version 1.0. Columbia University ADVENT Technical Report 117-2006-3. 2006"},{"key":"4344_CR59","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1631\/jzus.A0720058","volume":"9","author":"D. Y. Xia","year":"2008","unstructured":"Xia D Y, Wu F, Zhang X Q, et al. Local and global approaches of affinity propagation clustering for large scale data. J Zhejiang Univ Sci A, 2008, 9: 1373\u20131381","journal-title":"J Zhejiang Univ Sci A"},{"key":"4344_CR60","unstructured":"Candes E, Romberg J. l1-magic: Recovery of sparse signals via convex programming. http:\/\/www.acm.caltech.edu\/l1magic\/.2005"},{"key":"4344_CR61","doi-asserted-by":"crossref","unstructured":"Lewis D D. Naive Bayes at forty: the independence assumption in information retrieval. In: 10th European Conference on Machine Learning (ECML-98). 1998. 4\u201315","DOI":"10.1007\/BFb0026666"},{"key":"4344_CR62","doi-asserted-by":"crossref","unstructured":"Liu Y N, Wu F, Zhang Z H, et al. Sparse representation using nonnegative curds and whey. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2010. 3578\u20133585","DOI":"10.1109\/CVPR.2010.5539934"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-011-4344-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11432-011-4344-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-011-4344-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T02:01:25Z","timestamp":1741399285000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11432-011-4344-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,8,2]]},"references-count":62,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2011,10]]}},"alternative-id":["4344"],"URL":"https:\/\/doi.org\/10.1007\/s11432-011-4344-2","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"type":"print","value":"1674-733X"},{"type":"electronic","value":"1869-1919"}],"subject":[],"published":{"date-parts":[[2011,8,2]]}}}