{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T16:19:21Z","timestamp":1764173961797},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2013,3,15]],"date-time":"2013-03-15T00:00:00Z","timestamp":1363305600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2013,8]]},"DOI":"10.1007\/s00521-013-1371-5","type":"journal-article","created":{"date-parts":[[2013,3,14]],"date-time":"2013-03-14T03:23:42Z","timestamp":1363231422000},"page":"541-559","source":"Crossref","is-referenced-by-count":27,"title":["Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning"],"prefix":"10.1007","volume":"23","author":[{"given":"Shizhun","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenping","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changshui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,3,15]]},"reference":[{"key":"1371_CR1","doi-asserted-by":"crossref","DOI":"10.1515\/9781400874668","volume-title":"Adaptive control processes: a guided tour [M]","author":"R Bellman","year":"1961","unstructured":"Bellman R (1961) Adaptive control processes: a guided tour [M]. Princeton University Press, Princeton"},{"key":"1371_CR2","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","volume":"401","author":"DD Lee","year":"1999","unstructured":"Lee DD, Seung HS (1999) Learning the parts of objects by nonnegative matrix factorization. Nature 401:788\u2013791","journal-title":"Nature"},{"key":"1371_CR3","unstructured":"Lee DD, Seung HS (2001) Algorithms for non-negative matrix factorization. Adv Neural Inf Process Syst 13:556\u2013562"},{"issue":"8","key":"1371_CR4","doi-asserted-by":"crossref","first-page":"1548","DOI":"10.1109\/TPAMI.2010.231","volume":"33","author":"D Cai","year":"2011","unstructured":"Cai D, He X, Han J, Huang TS (2011) Graph regularization non-negative matrix factorization for data representation. IEEE Trans Pattern Anal Mach Intell 33(8):1548\u20131560","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"7","key":"1371_CR5","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1109\/TPAMI.2011.217","volume":"34","author":"H Liu","year":"2012","unstructured":"Liu H, Wu Z, Li X, Cai D, Huang TS (2012) Constrained nonnegative matrix factorization for image representation. IEEE Trans Pattern Anal Mach Intell 34(7):1299\u20131311","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1371_CR6","doi-asserted-by":"crossref","unstructured":"Gu Q, Zhou J (2009) Co-clustering on manifolds. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining (KDD), pp 359\u2013368","DOI":"10.1145\/1557019.1557063"},{"key":"1371_CR7","unstructured":"Gu Q, Ding C, Han J (2011) On trivial solution and scale transfer problems in graph regularized nonnegative matrix factorization. In: International joint conferences on artificial intelligence, pp 1288\u20131293"},{"key":"1371_CR8","doi-asserted-by":"crossref","first-page":"2237","DOI":"10.1016\/j.patcog.2011.12.015","volume":"45","author":"F Shang","year":"2012","unstructured":"Shang F, Jiao LC, Wang F (2012) Graph dual regularization non-negative matrix factorization for co-clustering. Pattern Recogn 45:2237\u20132250","journal-title":"Pattern Recogn"},{"issue":"2","key":"1371_CR9","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1007\/s11460-011-0128-0","volume":"6","author":"L Zhang","year":"2011","unstructured":"Zhang L, Chen Z, Zheng M, He X (2011) Robust non-negative matrix factorization. Front Electr Electron Eng China 6(2):192\u2013200","journal-title":"Front Electr Electron Eng China"},{"key":"1371_CR10","unstructured":"Kong D, Ding C, Huang H (2011) Robust non-negative matrix factorization using L21-norm. CIKM 673\u2013682"},{"key":"1371_CR11","doi-asserted-by":"crossref","unstructured":"Zhang H, Zha Z, Yan S, Wang M, Chua T (2012) Robust non-negative graph embedding: towards noisy data, unreliable graphs, and noisy labels. CVPR, 2464\u20132471","DOI":"10.1109\/CVPR.2012.6247961"},{"key":"1371_CR12","doi-asserted-by":"crossref","unstructured":"Kim J, Monteiro R, Park H (2012) Group sparsity in nonnegative matrix factorization. SDM 851\u2013862","DOI":"10.1137\/1.9781611972825.73"},{"key":"1371_CR13","first-page":"1457","volume":"5","author":"PO Hoyer","year":"2004","unstructured":"Hoyer PO (2004) Non-negative matrix factorization with sparseness constraints. J Mach Learn Res 5:1457\u20131469","journal-title":"J Mach Learn Res"},{"issue":"10","key":"1371_CR14","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan SJ, Yang Q (2010) A survey on transfer learning. IEEE Trans Knowl Data Eng 22(10):1345\u20131359","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1371_CR15","unstructured":"Li SZ, Hou X, Zhang H, Cheng Q (2001) Learning spatially localized, parts-based representation. In 2001 IEEE computer society conference on computer vision and pattern recognition (CVPR\u201901), pp 207\u2013212"},{"key":"1371_CR16","unstructured":"Xu W, Liu X, Gong Y (2003) Document clustering based on nonnegative matrix factorization. In: Proceedings of 2003 international conference on research and development in information retrieval (SIGIR\u201903), pp 267\u2013273, Toronto, Canada, Aug. 2003"},{"key":"1371_CR17","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1016\/j.patrec.2008.02.016","volume":"29","author":"A Cichocki","year":"2008","unstructured":"Cichocki A, Lee H, Kim YD, Choi S (2008) Non-negative matrix factorization with alpha-divergence. Pattern Recogn Lett 29:1433\u20131440","journal-title":"Pattern Recogn Lett"},{"key":"1371_CR18","unstructured":"Cichocki A, Zdunek R, Choi S, Plemmons R, Amari-ichi S (2007) Nonnegative tensor factorization using alpha and beta divergences. In: Proceedings IEEE international conference on acoustics, speech, and signal processing (ICASSP07), pp 1393\u20131396"},{"key":"1371_CR19","unstructured":"Dhillon IS, Sra S (2005) Generalized non negative matrix approximations with Bregman divergences. Annual conference on neural information processing systems (NIPS). Vancouver, Canada, pp 283\u2013290"},{"key":"1371_CR20","unstructured":"Guan N, Tao D, Luo Z, Shawe-Taylor J (2012) MahNMF: manhattan non-negative matrix factorization. CoRR abs\/1207.3438"},{"key":"1371_CR21","doi-asserted-by":"crossref","unstructured":"Zhang ZY (2011) Divergence functions of non negative matrix factorization: a comparison study, communications. Stat Simul Comput 40(10):1594\u20131612","DOI":"10.1080\/03610918.2011.589734"},{"key":"1371_CR22","unstructured":"Wang Y, Zhang Y (2011) Non-negative matrix factorization: a comprehensive review. IEEE Trans Knowl Data Eng 99:1\u201320"},{"key":"1371_CR23","doi-asserted-by":"crossref","unstructured":"Zhang ZY Non-negative matrix factorization: models, algorithms, and applications. Data Mining: Foundations and Intelligent Paradigms, ISRL 24, pp 99\u2013134","DOI":"10.1007\/978-3-642-23241-1_6"},{"key":"1371_CR24","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.patcog.2012.07.018","volume":"46","author":"X Zhu","year":"2013","unstructured":"Zhu X, Huang Z, Yang Y, Shen H, Xun C, Luo J (2013) Self-taught dimensionality reduction on the high-dimensional small-sized data. Pattern Recogn 46:215\u2013229","journal-title":"Pattern Recogn"},{"key":"1371_CR25","doi-asserted-by":"crossref","unstructured":"Xu Z, Sun S (2011) Multi-view transfer learning with adaboost. In: Proceedings of the 23rd IEEE international conference on tools with artificial intelligence (ICTAI), pp 399\u2013402","DOI":"10.1109\/ICTAI.2011.65"},{"key":"1371_CR26","doi-asserted-by":"crossref","unstructured":"Xu Z, Sun S (2012) Multi-source transfer learning with multi-view adaboost. Lect Notes Comput Sci 7665:332\u2013339","DOI":"10.1007\/978-3-642-34487-9_41"},{"key":"1371_CR27","doi-asserted-by":"crossref","unstructured":"Tong B, Gao J, Thach N, Suzuki E (2011) Gaussian process for dimensionality reduction in transfer learning. SDM, pp 783\u2013794","DOI":"10.1137\/1.9781611972818.67"},{"issue":"10\u201311","key":"1371_CR28","doi-asserted-by":"crossref","first-page":"2358","DOI":"10.1016\/j.patcog.2010.06.013","volume":"44","author":"X Gao","year":"2011","unstructured":"Gao X, Wang X, Li X, Tao D (2011) Transfer latent variable model based on divergence analysis. Pattern Recogn 44(10\u201311):2358\u20132366","journal-title":"Pattern Recogn"},{"key":"1371_CR29","unstructured":"Mihalkova L, Mooney RJ (2008) Transfer learning by mapping with minimal target data. In Proceedings of the AAAI-2008 workshop on transfer learning for complex tasks, Chicago, Illinois, USA, July 2008"},{"key":"1371_CR30","unstructured":"Davis J, Domingos P (2008) Deep transfer via second-order markov logic. In Proceedings of the AAAI-2008 workshop on transfer learning for complex tasks, Chicago, Illinois, USA, July 2008"},{"key":"1371_CR31","unstructured":"Blitzer J, Dredze M, Pereira F Biographies, bollywood, boom-boxes and blenders: domain adaptation for sentiment classification. In: Association for computational linguistics, Prague, Czech Republic"},{"key":"1371_CR32","doi-asserted-by":"crossref","unstructured":"Blitzer J, McDonald R, Pereira F (2006) Domain adaptation with structural correspondence learning. In Proceedings of the 2006 conference on empirical methods in natural language processing, EMNLP\u201906, Association for Computational Linguistics, Stroudsburg, PA, USA, pp 120\u2013128, 2006","DOI":"10.3115\/1610075.1610094"},{"key":"1371_CR33","unstructured":"Pan SJ, Kwok JT, Yang Q (2008) Transfer learning via dimensionality reduction. In Proceedings of the 23rd AAAI conference on artificial intelligence, Chicago, Illinois, USA, pp. 677\u2013682, July 2008"},{"key":"1371_CR34","unstructured":"Pan SJ, Tsang IW, Kwok JT, Yang Q (2009) Domain adaptation via transfer component analysis. In Proceedings of the 21st international joint conference on artificial intelligence, Pasadena, California"},{"key":"1371_CR35","doi-asserted-by":"crossref","unstructured":"Wang H, Nie F, Huang H, Ding C (2011) Dyadic transfer learning for cross-domain image classification. IEEE Int Conf Comput Vis, pp 551\u2013556","DOI":"10.1109\/ICCV.2011.6126287"},{"key":"1371_CR36","unstructured":"Wang H, Nie F, Huang H, Ding C (2011) Cross-language web page classification via dual knowledge transfer using non-negative matrix tri-factorization. SIGIR 933\u2013942"},{"key":"1371_CR37","doi-asserted-by":"crossref","unstructured":"Long M, Wang J, Ding G, Cheng W, Zhang X, Wang W (2012) Dual transfer learning. In: Proceedings of the 12th SIAM international conference on data mining (SIAM SDM 2012)","DOI":"10.1137\/1.9781611972825.47"},{"key":"1371_CR38","doi-asserted-by":"crossref","unstructured":"Long M, Wang J, Ding G, Shen D, Yang Q (2012). Transfer learning with graph co-regularization. In: Proceedings of the 26th AAAI conference on artificial intelligence (AAAI-2012)","DOI":"10.1609\/aaai.v26i1.8290"},{"key":"1371_CR39","first-page":"1624","volume":"4","author":"AN Tikhonov","year":"1963","unstructured":"Tikhonov AN (1963) Regularization of incorrectly posed problems. Soviet Math Dokl 4:1624\u20131627","journal-title":"Soviet Math Dokl"},{"key":"1371_CR40","first-page":"2399","volume":"7","author":"M Belkin","year":"2006","unstructured":"Belkin M, Niyogi P, Sindhwani V (2006) Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J Mach Learn Res 7:2399\u20132434","journal-title":"J Mach Learn Res"},{"key":"1371_CR41","first-page":"2423","volume":"11","author":"S Sun","year":"2010","unstructured":"Sun S, Shawe-Taylor J (2010) Sparse semi-supervised learning using conjugate functions. J Mach Learn Res 11:2423\u20132455","journal-title":"J Mach Learn Res"},{"key":"1371_CR42","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/978-3-642-25856-5_16","volume":"7121","author":"S Sun","year":"2011","unstructured":"Sun S (2011) Multi-view Laplacian support vector machines. Lect Notes Comput Sci 7121:209\u2013222","journal-title":"Lect Notes Comput Sci"},{"issue":"11","key":"1371_CR43","doi-asserted-by":"crossref","first-page":"1738","DOI":"10.1109\/TNNLS.2012.2212721","volume":"23","author":"S Xiang","year":"2012","unstructured":"Xiang S, Nie F, Meng G, Pan C, Zhang C (2012) Discriminative least squares regression for multiclass classification and feature selection. IEEE Trans Neural Netw Learn Syst (T-NNLS) 23(11):1738\u20131754","journal-title":"IEEE Trans Neural Netw Learn Syst (T-NNLS)"},{"issue":"5","key":"1371_CR44","doi-asserted-by":"crossref","first-page":"1250","DOI":"10.1109\/TSMCB.2011.2123886","volume":"41","author":"S Xiang","year":"2011","unstructured":"Xiang S, Nie F, Pan C, Zhang C (2011) Regression reformulations of LLE and LTSA with locally linear transformation. IEEE Trans Syst Man Cybern B (T-SMC-B) 41(5):1250\u20131262","journal-title":"IEEE Trans Syst Man Cybern B (T-SMC-B)"},{"key":"1371_CR45","doi-asserted-by":"crossref","unstructured":"Ding C, Zhou D, He X, Zha H (2006) R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization. ICML","DOI":"10.1145\/1143844.1143880"},{"key":"1371_CR46","unstructured":"Obozinski G, Taskar B, Jordan M (2006) Multi-task feature selection. Technical report, Department of Statistics, University of California, Berkeley"},{"key":"1371_CR47","doi-asserted-by":"crossref","unstructured":"Argyriou A, Evgeniou T, Pontil M (2007) Multi-task feature learning. NIPS 41\u201348","DOI":"10.7551\/mitpress\/7503.003.0010"},{"key":"1371_CR48","unstructured":"Nie F, Huang H, Cai X, Ding C (2010) Effective and robust feature selection via joint l2,1-norms minimization. In: Proceedings of the annual conference on advances in neural information processing systems (NIPS-10)"},{"issue":"11","key":"1371_CR49","doi-asserted-by":"crossref","first-page":"1738","DOI":"10.1109\/TNNLS.2012.2212721","volume":"23","author":"S Xiang","year":"2012","unstructured":"Xiang S, Nie F, Meng G, Pan C, Zhang C (2012) Discriminative least squares regression for multiclass classification and feature selection. IEEE Trans Neural Netw Learn Syst (T-NNLS) 23(11):1738\u20131754","journal-title":"IEEE Trans Neural Netw Learn Syst (T-NNLS)"},{"issue":"7","key":"1371_CR50","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1109\/34.598228","volume":"19","author":"P Belhumeur","year":"1997","unstructured":"Belhumeur P, Hespanha J, Kriegman D (1997) Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711\u2013720","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1371_CR51","unstructured":"http:\/\/images.ee.umist.ac.uk\/danny\/database.html"},{"key":"1371_CR52","unstructured":"http:\/\/www.csie.ntu.edu.tw\/cjlin\/libsvmtools\/datasets\/multiclass.html\/usps"},{"key":"1371_CR53","unstructured":"http:\/\/www.uk.research.att.com\/facedatabase.html"},{"key":"1371_CR54","unstructured":"http:\/\/people.csail.mit.edu\/jrennie\/20Newsgroups\/"},{"key":"1371_CR55","unstructured":"He X, Niyogi P (2003) Locality preserving projections. Neural Inf Process Syst 197\u2013204"},{"key":"1371_CR56","volume-title":"Combinatorial optimization: algorithms and complexity","author":"CH Papadimitriou","year":"1998","unstructured":"Papadimitriou CH, Steiglitz K (1998) Combinatorial optimization: algorithms and complexity. Dover, New York"},{"key":"1371_CR57","first-page":"583","volume":"3","author":"A Strehl","year":"2002","unstructured":"Strehl A, Ghosh J (2002) Cluster ensembles-acknowledge reuse framework for combining multiple partitions. J Mach Learn Res (JMLR) 3:583\u2013617","journal-title":"J Mach Learn Res (JMLR)"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1371-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-013-1371-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1371-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T08:27:53Z","timestamp":1688113673000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-013-1371-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,3,15]]},"references-count":57,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2013,8]]}},"alternative-id":["1371"],"URL":"https:\/\/doi.org\/10.1007\/s00521-013-1371-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,3,15]]}}}