{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:24:40Z","timestamp":1761863080456,"version":"3.38.0"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2011,11,16]],"date-time":"2011-11-16T00:00:00Z","timestamp":1321401600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data Min Knowl Disc"],"published-print":{"date-parts":[[2013,1]]},"DOI":"10.1007\/s10618-011-0244-8","type":"journal-article","created":{"date-parts":[[2011,11,15]],"date-time":"2011-11-15T14:15:35Z","timestamp":1321366535000},"page":"57-97","source":"Crossref","is-referenced-by-count":25,"title":["Regularized nonnegative shared subspace learning"],"prefix":"10.1007","volume":"26","author":[{"given":"Sunil Kumar","family":"Gupta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dinh","family":"Phung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brett","family":"Adams","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Svetha","family":"Venkatesh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,11,16]]},"reference":[{"unstructured":"Agarwal A, Daum\u00e9 H III, Gerber S (2010) Learning multiple tasks using manifold regularization. In: Advances in neural information processing systems, vol 23, pp 46\u201354","key":"244_CR1"},{"key":"244_CR2","first-page":"1817","volume":"6","author":"R Ando","year":"2005","unstructured":"Ando R, Zhang T (2005) A framework for learning predictive structures from multiple tasks and unlabeled data. J Mach Learn Res 6: 1817\u20131853","journal-title":"J Mach Learn Res"},{"doi-asserted-by":"crossref","unstructured":"Bae E, Bailey J (2006) Coala: a novel approach for the extraction of an alternate clustering of high quality and high dissimilarity. In: IEEE international conference on data mining, pp 53\u201362","key":"244_CR3","DOI":"10.1109\/ICDM.2006.37"},{"key":"244_CR4","volume-title":"Modern information retrieval","author":"R Baeza-Yates","year":"1999","unstructured":"Baeza-Yates R, Ribeiro-Neto B (1999) Modern information retrieval. Addison-Wesley, Reading, MA"},{"key":"244_CR5","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1613\/jair.731","volume":"12","author":"J Baxter","year":"2000","unstructured":"Baxter J (2000) A model of inductive bias learning. J Artif Intell Res 12: 149\u2013198","journal-title":"J Artif Intell Res"},{"doi-asserted-by":"crossref","unstructured":"Ben-David S, Schuller R (2003) Exploiting task relatedness for multiple task learning. In: 16th annual conference on computational learning theory, vol 2777, pp 567\u2013580","key":"244_CR6","DOI":"10.1007\/978-3-540-45167-9_41"},{"issue":"3","key":"244_CR7","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s10588-005-5380-5","volume":"11","author":"M Berry","year":"2005","unstructured":"Berry M, Browne M (2005) Email surveillance using non-negative matrix factorization. Comput Math Organ Theory 11(3): 249\u2013264","journal-title":"Comput Math Organ Theory"},{"issue":"1","key":"244_CR8","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.csda.2006.11.006","volume":"52","author":"M Berry","year":"2007","unstructured":"Berry M, Browne M, Langville A, Pauca V, Plemmons R (2007) Algorithms and applications for approximate nonnegative matrix factorization. Comput Stat Data Anal 52(1): 155\u2013173","journal-title":"Comput Stat Data Anal"},{"doi-asserted-by":"crossref","unstructured":"Bickel S, Scheffer T (2004) Multi-view clustering. In: Proceedings of the IEEE international conference on data mining, pp 19\u201326","key":"244_CR9","DOI":"10.1109\/ICDM.2004.10095"},{"key":"244_CR10","first-page":"993","volume":"3","author":"D Blei","year":"2003","unstructured":"Blei D, Ng A, Jordan M (2003) Latent Dirichlet\u00a0allocation. J Mach Learn Res 3: 993\u20131022","journal-title":"J Mach Learn Res"},{"issue":"4","key":"244_CR11","doi-asserted-by":"crossref","first-page":"1350","DOI":"10.1016\/j.patcog.2007.09.010","volume":"41","author":"C Boutsidis","year":"2008","unstructured":"Boutsidis C, Gallopoulos E (2008) SVD based initialization: a head start for nonnegative matrix factorization. Pattern Recogn 41(4): 1350\u20131362","journal-title":"Pattern Recogn"},{"key":"244_CR12","first-page":"113","volume":"2","author":"S Bucak","year":"2007","unstructured":"Bucak S, Gunsel B (2007) Video content representation by incremental non-negative matrix factorization. ICIP 2: 113\u2013116","journal-title":"ICIP"},{"doi-asserted-by":"crossref","unstructured":"Cai D, He X, Han J (2007) Semi-supervised discriminant analysis. In: International conference on computer vision, pp 1\u20137","key":"244_CR13","DOI":"10.1109\/ICCV.2007.4408856"},{"doi-asserted-by":"crossref","unstructured":"Cai D, He X, Wu X, Han J (2008) Non-negative matrix factorization on manifold. IEEE international conference on data mining, pp 63\u201372","key":"244_CR14","DOI":"10.1109\/ICDM.2008.57"},{"issue":"8","key":"244_CR15","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 T (2011) Graph regularized 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":"1","key":"244_CR16","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1023\/A:1007379606734","volume":"28","author":"R Caruana","year":"1997","unstructured":"Caruana R (1997) Multitask learning. Mach Learn 28(1): 41\u201375","journal-title":"Mach Learn"},{"doi-asserted-by":"crossref","unstructured":"Chaudhuri K, Kakade S, Livescu K, Sridharan K (2009) Multi-view clustering via canonical correlation analysis. In: Proceedings of the 26th international conference on machine learning, pp 129\u2013136","key":"244_CR17","DOI":"10.1145\/1553374.1553391"},{"unstructured":"Choi S (2008) Algorithms for orthogonal nonnegative matrix factorization. In: Proceedings of the international joint conference on neural networks, pp 1828\u20131832","key":"244_CR18"},{"doi-asserted-by":"crossref","unstructured":"Cui Y, Fern X, Dy J (2007) Non-redundant multi-view clustering via orthogonalization. In: IEEE international conference on data mining. IEEE, pp 133\u2013142","key":"244_CR19","DOI":"10.1109\/ICDM.2007.94"},{"doi-asserted-by":"crossref","unstructured":"Dai W, Jin O, Xue G, Yang Q, Yu Y (2009) Eigentransfer: a unified framework for transfer learning. ICML, pp 193\u2013200","key":"244_CR20","DOI":"10.1145\/1553374.1553399"},{"issue":"1","key":"244_CR21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A Dempster","year":"1977","unstructured":"Dempster A, Laird N, Rubin D et\u00a0al (1977) Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc Ser B (Methodol) 39(1): 1\u201338","journal-title":"J R Stat Soc Ser B (Methodol)"},{"doi-asserted-by":"crossref","unstructured":"Ding C, Li T, Peng W, Park H (2006) Orthogonal nonnegative matrix tri-factorizations for clustering. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 126\u2013135","key":"244_CR22","DOI":"10.1145\/1150402.1150420"},{"key":"244_CR23","volume-title":"Pattern classification, vol 2","author":"R Duda","year":"2001","unstructured":"Duda R, Hart P, Stork D (2001) Pattern classification, vol 2. Wiley-Interscience, New York"},{"doi-asserted-by":"crossref","unstructured":"Gu Q, Zhou J (2009a) Learning the shared subspace for multi-task clustering and transductive transfer classification. In: IEEE international conference on data mining, pp 159\u2013168","key":"244_CR24","DOI":"10.1109\/ICDM.2009.32"},{"unstructured":"Gu Q, Zhou J (2009b) Local learning regularized nonnegative matrix factorization. In: Proceedings of the 21st international joint conference on artificial intelligence, pp 1046\u20131051","key":"244_CR25"},{"doi-asserted-by":"crossref","unstructured":"Gupta S, Phung D, Adams B, Tran T, Venkatesh S (2010) Nonnegative shared subspace learning and its application to social media retrieval. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, pp 1169\u20131178","key":"244_CR26","DOI":"10.1145\/1835804.1835951"},{"doi-asserted-by":"crossref","unstructured":"Gupta S, Phung D, Adams B, Venkatesh S (2011a) A Bayesian framework for learning shared and individual subspaces from multiple data sources. In: Advances in knowledge discovery and data mining, 15th Pacific-Asia conference (PAKDD), pp 136\u2013147","key":"244_CR27","DOI":"10.1007\/978-3-642-20841-6_12"},{"unstructured":"Gupta SK, Phung D, Adams B, Venkatesh S (2011b) A matrix factorization framework for jointly analyzing multiple nonnegative data sources. In: Proceedings of text mining workshop, in conjuction with SIAM international conference on data mining","key":"244_CR28"},{"issue":"12","key":"244_CR29","doi-asserted-by":"crossref","first-page":"2639","DOI":"10.1162\/0899766042321814","volume":"16","author":"D Hardoon","year":"2004","unstructured":"Hardoon D, Szedmak S, Shawe-Taylor J (2004) Canonical correlation analysis: an overview with application to learning methods. Neural Comput 16(12): 2639\u20132664","journal-title":"Neural Comput"},{"doi-asserted-by":"crossref","unstructured":"Ji S, Tang L, Yu S, Ye J (2008) Extracting shared subspace for multi-label classification. In: Proceeding of the 14th ACM SIGKDD international conference on knowledge discovery and data mining, pp 381\u2013389","key":"244_CR30","DOI":"10.1145\/1401890.1401939"},{"key":"244_CR31","volume-title":"Principle component analysis","author":"I Jolliffe","year":"2002","unstructured":"Jolliffe I (2002) Principle component analysis. Springer, Heidelberg"},{"doi-asserted-by":"crossref","unstructured":"Kailing K, Kriegel H, Pryakhin A, Schubert M (2004) Clustering multi-represented objects with noise. In: Advances in knowledge discovery and data mining, 8th Pacific-Asia conference (PAKDD), pp 394\u2013403","key":"244_CR32","DOI":"10.1007\/978-3-540-24775-3_48"},{"issue":"2","key":"244_CR33","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1137\/07069239X","volume":"30","author":"H Kim","year":"2008","unstructured":"Kim H, Park H (2008) Non-negative matrix factorization based on alternating non-negativity constrained least squares and active set method. SIAM J Matrix Anal Appl 30(2): 713\u2013730","journal-title":"SIAM J Matrix Anal Appl"},{"unstructured":"Langville A, Meyer C, Albright R, Cox J, Duling D (2006) Initializations for the nonnegative matrix factorization. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining","key":"244_CR34"},{"key":"244_CR35","first-page":"556","volume":"13","author":"D Lee","year":"2001","unstructured":"Lee D, Seung H (2001) Algorithms for non-negative matrix factorization. Adv Neural Inform Process Syst 13: 556\u2013562","journal-title":"Adv Neural Inform Process Syst"},{"doi-asserted-by":"crossref","unstructured":"Li T, Ma S, Ogihara M (2004) Document clustering via adaptive subspace iteration. In: Proceedings of the 27th international ACM SIGIR conference on research and development in information retrieval, pp 218\u2013225","key":"244_CR36","DOI":"10.1145\/1008992.1009031"},{"issue":"10","key":"244_CR37","doi-asserted-by":"crossref","first-page":"2756","DOI":"10.1162\/neco.2007.19.10.2756","volume":"19","author":"C Lin","year":"2007","unstructured":"Lin C (2007) Projected gradient methods for nonnegative matrix factorization. Neural Comput 19(10): 2756\u20132779","journal-title":"Neural Comput"},{"doi-asserted-by":"crossref","unstructured":"Lin Y, Sundaram H, De Choudhury M, Kelliher A (2009) Temporal patterns in social media streams: theme discovery and evolution using joint analysis of content and context. In: IEEE international conference on multimedia and expo, pp 1456\u20131459","key":"244_CR38","DOI":"10.1109\/ICME.2009.5202777"},{"key":"244_CR39","volume-title":"Matching theory","author":"L Lov\u00e1sz","year":"1986","unstructured":"Lov\u00e1sz L, Plummer M (1986) Matching theory. Elsevier, Amsterdam"},{"key":"244_CR40","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to information retrieval","author":"C Manning","year":"2008","unstructured":"Manning C, Raghavan P, Sch\u00fctze H (2008) Introduction to information retrieval. Cambridge University Press, Cambridge"},{"key":"244_CR41","volume-title":"Multivariate analysis","author":"KV Mardia","year":"1979","unstructured":"Mardia KV, Bibby JM, Kent JT (1979) Multivariate analysis. Academic, New York"},{"unstructured":"Niu D, Dy J, Jordan M (2010) Multiple non-redundant spectral clustering views. In: Proceedings of the 27th international conference on machine learning, pp 831\u2013838","key":"244_CR42"},{"unstructured":"Pan S, Yang Q (2008) A survey on transfer learning. Technical Report HKUST-CS08-08. Department of Computer Science and Engineering, HKUST, Hong Kong","key":"244_CR43"},{"doi-asserted-by":"crossref","unstructured":"Qi Z, Davidson I (2009) A principled and flexible framework for finding alternative clusterings. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, pp 717\u2013726","key":"244_CR44","DOI":"10.1145\/1557019.1557099"},{"doi-asserted-by":"crossref","unstructured":"Rui Y, Huang T (2000) Optimizing learning in image retrieval. In: Proceedings of the IEEE conference on computer vision and pattern recognition. Published by the IEEE Computer Society, pp 236\u2013243","key":"244_CR45","DOI":"10.1109\/CVPR.2000.855825"},{"issue":"5","key":"244_CR46","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1016\/0306-4573(88)90021-0","volume":"24","author":"G Salton","year":"1988","unstructured":"Salton G, Buckley C (1988) Term-weighting approaches in automatic text retrieval. Inform Process Manag 24(5): 513\u2013523","journal-title":"Inform Process Manag"},{"issue":"8","key":"244_CR47","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell 22(8): 888\u2013905","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"7","key":"244_CR48","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1109\/TKDE.2009.126","volume":"22","author":"S Si","year":"2009","unstructured":"Si S, Tao D, Geng B (2009) Bregman divergence based regularization for transfer subspace learning. IEEE Trans Knowl Data Eng 22(7): 929\u2013942","journal-title":"IEEE Trans Knowl Data Eng"},{"unstructured":"Thrun S (1996) Is learning the n-th thing any easier than learning the first? In: Advances in neural information processing systems, pp 640\u2013646","key":"244_CR49"},{"issue":"11","key":"244_CR50","doi-asserted-by":"crossref","first-page":"2217","DOI":"10.1016\/j.patcog.2004.02.013","volume":"37","author":"S Wild","year":"2004","unstructured":"Wild S, Curry J, Dougherty A (2004) Improving non-negative matrix factorizations through structured initialization. Pattern Recogn 37(11): 2217\u20132232","journal-title":"Pattern Recogn"},{"issue":"1","key":"244_CR51","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1007\/s10618-010-0170-1","volume":"21","author":"B Wiswedel","year":"2010","unstructured":"Wiswedel B, H\u00f6ppner F, Berthold M (2010) Learning in parallel universes. Data Min Knowl Disc 21(1): 130\u2013152","journal-title":"Data Min Knowl Disc"},{"doi-asserted-by":"crossref","unstructured":"Xu W, Liu X, Gong Y (2003) Document clustering based on non-negative matrix factorization. In: Proceedings of the 26th international ACM SIGIR conference on research and development in information retrieval. ACM, New York, NY, pp 267\u2013273","key":"244_CR52","DOI":"10.1145\/860435.860485"},{"doi-asserted-by":"crossref","unstructured":"Yan R, Tesic J, Smith J (2007) Model-shared subspace boosting for multi-label classification. In: Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 834\u2013843","key":"244_CR53","DOI":"10.1145\/1281192.1281281"},{"doi-asserted-by":"crossref","unstructured":"Yang T, Jin R, Jain A, Zhou Y, Tong W (2010) Unsupervised transfer classification: application to text categorization. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 1159\u20131168","key":"244_CR54","DOI":"10.1145\/1835804.1835950"},{"doi-asserted-by":"crossref","unstructured":"Yu K, Zhu S, Lafferty J, Gong Y (2009) Fast nonparametric matrix factorization for large-scale collaborative filtering. In: Proceedings of the 32nd international ACM SIGIR conference on research and development in information retrieval, pp 211\u2013218","key":"244_CR55","DOI":"10.1145\/1571941.1571979"},{"issue":"10","key":"244_CR56","doi-asserted-by":"crossref","first-page":"1720","DOI":"10.1016\/j.neucom.2011.02.004","volume":"74","author":"J Zhang","year":"2011","unstructured":"Zhang J, Zhang C (2011) Multitask Bregman clustering. Neurocomputing 74(10): 1720\u20131734","journal-title":"Neurocomputing"},{"key":"244_CR57","first-page":"595","volume":"16","author":"D Zhou","year":"2004","unstructured":"Zhou D, Bousquet O, Lal T, Weston J, Sch\u00f6lkopf B (2004) Learning with local and global consistency. Adv Neural Inform Process Syst 16: 595\u2013602","journal-title":"Adv Neural Inform Process Syst"},{"doi-asserted-by":"crossref","unstructured":"Zhuang F, Luo P, Shen Z, He Q, Xiong Y, Shi Z, Xiong H (2010) Collaborative dual-plsa: mining distinction and commonality across multiple domains for text classification. CIKM, pp 359\u2013368","key":"244_CR58","DOI":"10.1145\/1871437.1871486"}],"container-title":["Data Mining and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-011-0244-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10618-011-0244-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-011-0244-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T02:53:56Z","timestamp":1741920836000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10618-011-0244-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,11,16]]},"references-count":58,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2013,1]]}},"alternative-id":["244"],"URL":"https:\/\/doi.org\/10.1007\/s10618-011-0244-8","relation":{},"ISSN":["1384-5810","1573-756X"],"issn-type":[{"type":"print","value":"1384-5810"},{"type":"electronic","value":"1573-756X"}],"subject":[],"published":{"date-parts":[[2011,11,16]]}}}