{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T11:56:42Z","timestamp":1757591802059,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2012,4,16]],"date-time":"2012-04-16T00:00:00Z","timestamp":1334534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2012,4,16]]},"DOI":"10.1145\/2187980.2188217","type":"proceedings-article","created":{"date-parts":[[2012,4,24]],"date-time":"2012-04-24T18:41:27Z","timestamp":1335292887000},"page":"869-876","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Music retagging using label propagation and robust principal component analysis"],"prefix":"10.1145","author":[{"given":"Yi-Hsuan","family":"Yang","sequence":"first","affiliation":[{"name":"Academia Sinica, Taipei, Taiwan Roc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dmitry","family":"Bogdanov","sequence":"additional","affiliation":[{"name":"Universitat Pompeu Fabra, Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Perfecto","family":"Herrera","sequence":"additional","affiliation":[{"name":"Universitat Pompeu Fabra, Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Sordo","sequence":"additional","affiliation":[{"name":"Universitat Pompeu Fabra, Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2012,4,16]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1121\/1.2750160"},{"key":"e_1_3_2_1_2_1","volume-title":"ISMIR","author":"Aucouturier J.","year":"2007","unstructured":"J. Aucouturier , F. Pachet , P. Roy , and A. Beurive . Signal+context=better classification . In ISMIR , 2007 . J. Aucouturier, F. Pachet, P. Roy, and A. Beurive. Signal+context=better classification. In ISMIR, 2007."},{"key":"e_1_3_2_1_3_1","volume-title":"Automatic tagging of audio: The state-of-the-art","author":"Bertin-Mahieux T.","year":"2010","unstructured":"T. Bertin-Mahieux , D. Eck , and M. Mandel . Automatic tagging of audio: The state-of-the-art . In W. Wang, editor,Machine Audition : Principles, Algorithms and Systems. IGI Global , 2010 . T. Bertin-Mahieux, D. Eck, and M. Mandel. Automatic tagging of audio: The state-of-the-art. In W. Wang, editor,Machine Audition: Principles, Algorithms and Systems. IGI Global, 2010."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2125784"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1137\/080738970"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1459359.1459376"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2008.916370"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12079-4"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9"},{"key":"e_1_3_2_1_11_1","first-page":"443","article-title":"Wikipedia-based semantic interpretation for natural language processing.","volume":"34","author":"Gabrilovich E.","year":"2009","unstructured":"E. Gabrilovich and S. Markovitch . Wikipedia-based semantic interpretation for natural language processing. J. Artif. Int. Res. , 34 : 443 -- 498 , 2009 . E. Gabrilovich and S. Markovitch. Wikipedia-based semantic interpretation for natural language processing.J. Artif. Int. Res., 34:443--498, 2009.","journal-title":"J. Artif. Int. Res."},{"key":"e_1_3_2_1_12_1","volume-title":"Linear Algebra","author":"Golub G.","year":"1971","unstructured":"G. Golub and C. Reinsch . Handbook for Matrix Computation II , Linear Algebra . Springer-Verlag , New York , 1971 . G. Golub and C. Reinsch. Handbook for Matrix Computation II, Linear Algebra. Springer-Verlag, New York, 1971."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/353485.353487"},{"key":"e_1_3_2_1_14_1","first-page":"993","volume-title":"InIEEE ICIP","author":"Jia J.","year":"2008","unstructured":"J. Jia , N. Yu , X. Rui , and M. Li . Multi-graph similarity reinforcement for image annotation refinement . InIEEE ICIP , pages 993 -- 996 , 2008 . J. Jia, N. Yu, X. Rui, and M. Li. Multi-graph similarity reinforcement for image annotation refinement. InIEEE ICIP, pages 993--996, 2008."},{"key":"e_1_3_2_1_15_1","volume-title":"ISMIR","author":"Knees P.","year":"2009","unstructured":"P. Knees , T. Pohle , M. Schedl , D. Schnitzer , K. Seyerlehner , and G. Widmer . Augmenting text-based music retrieval with audio similarity . In ISMIR , 2009 . P. Knees, T. Pohle, M. Schedl, D. Schnitzer, K. Seyerlehner, and G. Widmer. Augmenting text-based music retrieval with audio similarity. In ISMIR, 2009."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1080\/09298210802479284"},{"key":"e_1_3_2_1_18_1","volume-title":"Workshop on Evaluation Methods in Machine Learning","author":"Law E.","year":"2008","unstructured":"E. Law . The problem of accuracy as an evaluation criterion . In Workshop on Evaluation Methods in Machine Learning , 2008 . E. Law. The problem of accuracy as an evaluation criterion. In Workshop on Evaluation Methods in Machine Learning, 2008."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1518701.1518881"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2009.2012913"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874031"},{"key":"e_1_3_2_1_23_1","first-page":"399","volume-title":"ISMIR","author":"Mandel M. I.","year":"2010","unstructured":"M. I. Mandel , D. Eck , and Y. Bengio . Learning tags that vary within a song . In ISMIR , pages 399 -- 404 , 2010 . M. I. Mandel, D. Eck, and Y. Bengio. Learning tags that vary within a song. In ISMIR, pages 399--404, 2010."},{"key":"e_1_3_2_1_24_1","volume-title":"ISMIR","author":"Marques G.","year":"2011","unstructured":"G. Marques , M. Domingues , T. Langlois , and F. Gouyon . Three current issues in music autotagging . In ISMIR , 2011 . G. Marques, M. Domingues, T. Langlois, and F. Gouyon. Three current issues in music autotagging. In ISMIR, 2011."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.1953063"},{"key":"e_1_3_2_1_26_1","volume-title":"ISMIR","author":"Miotto R.","year":"2010","unstructured":"R. Miotto , L. Barrington , and G. Lanckriet . Improving auto-tagging by modeling semantic co-occurrences . In ISMIR , 2010 . R. Miotto, L. Barrington, and G. Lanckriet. Improving auto-tagging by modeling semantic co-occurrences. In ISMIR, 2010."},{"key":"e_1_3_2_1_27_1","first-page":"297","volume-title":"ISMIR","author":"Miotto R.","year":"2010","unstructured":"R. Miotto , L. Barrington , and G. Lanckriet . Improving auto-tagging by modeling semantic co-occurrences . In ISMIR , pages 297 -- 302 , 2010 . R. Miotto, L. Barrington, and G. Lanckriet. Improving auto-tagging by modeling semantic co-occurrences. In ISMIR, pages 297--302, 2010."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1631272.1631393"},{"issue":"2","key":"e_1_3_2_1_29_1","first-page":"372","article-title":"A method of solving a convex programming problem with convergence rateO(1\/k2)","volume":"27","author":"Nesterov Y.","year":"1983","unstructured":"Y. Nesterov . A method of solving a convex programming problem with convergence rateO(1\/k2) . Soviet Mathematics Doklady , 27 ( 2 ): 372 -- 376 , 1983 . Y. Nesterov. A method of solving a convex programming problem with convergence rateO(1\/k2). Soviet Mathematics Doklady, 27(2):372--376, 1983.","journal-title":"Soviet Mathematics Doklady"},{"key":"e_1_3_2_1_30_1","volume-title":"Optimization Online","author":"Recht B.","year":"2011","unstructured":"B. Recht and C. Re . Parallel stochastic gradient algorithms for large-scale matrix completion . In Optimization Online , 2011 . B. Recht and C. Re. Parallel stochastic gradient algorithms for large-scale matrix completion. In Optimization Online, 2011."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/1993036.1993038"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/175222.175223"},{"key":"e_1_3_2_1_33_1","first-page":"329","volume-title":"ICML","author":"Shalev-Shwartz S.","year":"2011","unstructured":"S. Shalev-Shwartz , A. Gonen , and O. Shamir . Large-scale convex minimization with a low-rank constraint . In ICML , pages 329 -- 336 , 2011 . S. Shalev-Shwartz, A. Gonen, and O. Shamir. Large-scale convex minimization with a low-rank constraint. In ICML, pages 329--336, 2011."},{"key":"e_1_3_2_1_34_1","volume-title":"MIREX 2011: Audio tag classification using weighted-vote nearest neighbor classification. In Music Information Retrieval Evaluation eXchange","author":"Sordo M.","year":"2011","unstructured":"M. Sordo , O. Celma , and D. Bogdanov . MIREX 2011: Audio tag classification using weighted-vote nearest neighbor classification. In Music Information Retrieval Evaluation eXchange , 2011 . M. Sordo, O. Celma, and D. Bogdanov. MIREX 2011: Audio tag classification using weighted-vote nearest neighbor classification. In Music Information Retrieval Evaluation eXchange, 2011."},{"key":"e_1_3_2_1_35_1","volume-title":"Workshop on Music Recommendation and Discovery, ACM Int. Conf. Recommender Systems","author":"Sordo M.","year":"2010","unstructured":"M. Sordo , F. Gouyon , and L. Sarmento . A method for obtaining semantic facets of music tags . In Workshop on Music Recommendation and Discovery, ACM Int. Conf. Recommender Systems , 2010 . M. Sordo, F. Gouyon, and L. Sarmento. A method for obtaining semantic facets of music tags. In Workshop on Music Recommendation and Discovery, ACM Int. Conf. Recommender Systems, 2010."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/11503415_37"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1075\/pc.14.2.09ste"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1743384.1743400"},{"key":"e_1_3_2_1_39_1","volume-title":"ISMIR","author":"Turnbull D.","year":"2008","unstructured":"D. Turnbull , L. Barrington , and G. Lanckriet . Five approaches to collecting tags for music . In ISMIR , 2008 . D. Turnbull, L. Barrington, and G. Lanckriet. Five approaches to collecting tags for music. In ISMIR, 2008."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/1571941.1572009"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277817"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383221"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2007.41"},{"key":"e_1_3_2_1_44_1","volume-title":"ISMIR","author":"Wang J.-C.","year":"2011","unstructured":"J.-C. Wang , H.-S. Lee , H.-M. Wang , and S.-K. Jeng . Learning the similarity of audio music in bag-of-frames representation from tagged music data . In ISMIR , 2011 . J.-C. Wang, H.-S. Lee, H.-M. Wang, and S.-K. Jeng. Learning the similarity of audio music in bag-of-frames representation from tagged music data. In ISMIR, 2011."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.12"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2010.2064164"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.5555\/1996401"},{"key":"e_1_3_2_1_48_1","first-page":"321","volume-title":"InNIPS","author":"Zhou D.","year":"2004","unstructured":"D. Zhou , O. Bousquet , T. N. Lal , J. Weston , and B. Scholkopf . Learning with local and global consistency . InNIPS , pages 321 -- 328 , 2004 . D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Scholkopf. Learning with local and global consistency. InNIPS, pages 321--328, 2004."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874028"},{"key":"e_1_3_2_1_51_1","first-page":"912","volume-title":"ICML","author":"Zhu X.","year":"2003","unstructured":"X. Zhu , Z. Ghahramani , and J. Lafferty . Semi-supervised learning using gaussian fields and harmonic functions . In ICML , pages 912 -- 919 , 2003 . X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. In ICML, pages 912--919, 2003."}],"event":{"name":"WWW 2012: 21st World Wide Web Conference 2012","sponsor":["Univ. de Lyon Universite de Lyon","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Lyon France","acronym":"WWW 2012"},"container-title":["Proceedings of the 21st International Conference on World Wide Web"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2187980.2188217","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2187980.2188217","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T10:06:28Z","timestamp":1750241188000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2187980.2188217"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,4,16]]},"references-count":48,"alternative-id":["10.1145\/2187980.2188217","10.1145\/2187980"],"URL":"https:\/\/doi.org\/10.1145\/2187980.2188217","relation":{},"subject":[],"published":{"date-parts":[[2012,4,16]]},"assertion":[{"value":"2012-04-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}