{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,18]],"date-time":"2025-04-18T05:12:16Z","timestamp":1744953136363,"version":"3.37.3"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T00:00:00Z","timestamp":1582070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T00:00:00Z","timestamp":1582070400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003968","name":"Iran National Science Foundation","doi-asserted-by":"publisher","award":["930027"],"award-info":[{"award-number":["930027"]}],"id":[{"id":"10.13039\/501100003968","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1007\/s10044-020-00869-6","type":"journal-article","created":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T14:03:17Z","timestamp":1582120997000},"page":"1225-1233","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Transductive multi-label learning from missing data using smoothed rank function"],"prefix":"10.1007","volume":"23","author":[{"given":"Ashkan","family":"Esmaeili","sequence":"first","affiliation":[]},{"given":"Kayhan","family":"Behdin","sequence":"additional","affiliation":[]},{"given":"Mohammad Amin","family":"Fakharian","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4635-8986","authenticated-orcid":false,"given":"Farokh","family":"Marvasti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,19]]},"reference":[{"key":"869_CR1","doi-asserted-by":"crossref","unstructured":"Alameda-Pineda X, Yan Y, Ricci E, Lanz O, Sebe N (2015) Analyzing free-standing conversational groups: a multimodal approach. In: Proceedings of the 23rd ACM international conference on multimedia","DOI":"10.1145\/2733373.2806238"},{"issue":"1","key":"869_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10044-014-0411-9","volume":"18","author":"M Aste","year":"2015","unstructured":"Aste M, Boninsegna M, Freno A, Trentin E (2015) Techniques for dealing with incomplete data: a tutorial and survey. Pattern Anal Appl 18(1):1\u201329","journal-title":"Pattern Anal Appl"},{"key":"869_CR3","volume-title":"Nonlinear programming","author":"DP Bertsekas","year":"1999","unstructured":"Bertsekas DP (1999) Nonlinear programming. Athena Scientific, Belmont"},{"issue":"4","key":"869_CR4","doi-asserted-by":"publisher","first-page":"1196","DOI":"10.1137\/S1052623497330963","volume":"10","author":"EG Birgin","year":"2000","unstructured":"Birgin EG, Mart\u00ednez JM, Raydan M (2000) Nonmonotone spectral projected gradient methods on convex sets. SIAM J Optim 10(4):1196\u20131211","journal-title":"SIAM J Optim"},{"issue":"6","key":"869_CR5","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1007\/s10208-009-9045-5","volume":"9","author":"EJ Cand\u00e8s","year":"2009","unstructured":"Cand\u00e8s EJ, Recht B (2009) Exact matrix completion via convex optimization. Found Comput Math 9(6):717","journal-title":"Found Comput Math"},{"key":"869_CR6","doi-asserted-by":"crossref","unstructured":"Dvijotham K, Fazel M (2010) A nullspace analysis of the nuclear norm heuristic for rank minimization. In: IEEE international conference on acoustics speech and signal processing (ICASSP)","DOI":"10.1109\/ICASSP.2010.5495918"},{"key":"869_CR7","doi-asserted-by":"crossref","unstructured":"Elisseeff A, Weston J (2002) A kernel method for multi-labelled classification. In: Advances in neural information processing systems, pp 681\u2013687","DOI":"10.7551\/mitpress\/1120.003.0092"},{"issue":"12","key":"869_CR8","doi-asserted-by":"publisher","first-page":"3692","DOI":"10.1016\/j.patcog.2008.05.019","volume":"41","author":"A Farhangfar","year":"2008","unstructured":"Farhangfar A, Kurgan L, Dy J (2008) Impact of imputation of missing values on classification error for discrete data. Pattern Recognit 41(12):3692\u20133705","journal-title":"Pattern Recognit"},{"key":"869_CR9","unstructured":"Goldberg A, Recht B, Xu J, Nowak R, Zhu X (2010) Transduction with matrix completion: three birds with one stone. In: Advances in neural information processing systems, pp 757\u2013765"},{"key":"869_CR10","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.neucom.2016.11.015","volume":"225","author":"MA Kiasari","year":"2017","unstructured":"Kiasari MA, Jang G-J, Lee M (2017) Novel iterative approach using generative and discriminative models for classification with missing features. Neurocomputing 225:23\u201330","journal-title":"Neurocomputing"},{"key":"869_CR11","doi-asserted-by":"crossref","unstructured":"Lin Z, Ding G, Hu M, Wang J, Ye X (2013) Image tag completion via image-specific and tag-specific linear sparse reconstructions. In: IEEE conference on computer vision and pattern recognition (CVPR)","DOI":"10.1109\/CVPR.2013.212"},{"key":"869_CR12","volume-title":"Statistical analysis with missing data","author":"RJA Little","year":"2014","unstructured":"Little RJA, Rubin DB (2014) Statistical analysis with missing data, vol 333. Wiley, New York"},{"key":"869_CR13","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/j.patcog.2018.01.022","volume":"78","author":"Y Liu","year":"2018","unstructured":"Liu Y, Wen K, Gao Q, Gao X, Nie F (2018) SVM based multi-label learning with missing labels for image annotation. Pattern Recognit 78:307\u2013317","journal-title":"Pattern Recognit"},{"key":"869_CR14","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.patcog.2015.10.001","volume":"52","author":"Z Liu","year":"2016","unstructured":"Liu Z, Pan Q, Dezert J, Martin A (2016) Adaptive imputation of missing values for incomplete pattern classification. Pattern Recognit 52:85\u201395","journal-title":"Pattern Recognit"},{"issue":"8","key":"869_CR15","doi-asserted-by":"publisher","first-page":"2355","DOI":"10.1109\/TIP.2015.2421309","volume":"24","author":"Y Luo","year":"2015","unstructured":"Luo Y, Liu T, Tao D, Xu C (2015) Multiview matrix completion for multilabel image classification. IEEE Trans Image Process 24(8):2355\u20132368","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"869_CR16","doi-asserted-by":"publisher","first-page":"981","DOI":"10.1109\/TSP.2013.2295557","volume":"62","author":"M Malek-Mohammadi","year":"2014","unstructured":"Malek-Mohammadi M, Babaie-Zadeh M, Amini A, Jutten C (2014) Recovery of low-rank matrices under affine constraints via a smoothed rank function. IEEE Trans Signal Process 62(4):981\u2013992","journal-title":"IEEE Trans Signal Process"},{"key":"869_CR17","volume-title":"Nonuniform sampling: theory and practice","author":"F Marvasti","year":"2012","unstructured":"Marvasti F (2012) Nonuniform sampling: theory and practice. Springer, Berlin"},{"key":"869_CR18","doi-asserted-by":"crossref","unstructured":"Moradipari A, Shahsavari S, Esmaeili A, Marvasti F (2017) Using empirical covariance matrix in enhancing prediction accuracy of linear models with missing information. In: 2017 International conference on sampling theory and applications (SampTA)","DOI":"10.1109\/SAMPTA.2017.8024338"},{"issue":"12","key":"869_CR19","doi-asserted-by":"publisher","first-page":"i60","DOI":"10.1093\/bioinformatics\/btu269","volume":"30","author":"N Natarajan","year":"2014","unstructured":"Natarajan N, Dhillon IS (2014) Inductive matrix completion for predicting gene disease associations. Bioinformatics 30(12):i60\u2013i68","journal-title":"Bioinformatics"},{"issue":"8","key":"869_CR20","doi-asserted-by":"publisher","first-page":"2323","DOI":"10.1016\/j.patcog.2013.01.009","volume":"46","author":"F Shang","year":"2013","unstructured":"Shang F, Jiao LC, Liu Y, Tong H (2013) Semi-supervised learning with nuclear norm regularization. Pattern Recognit 46(8):2323\u20132336","journal-title":"Pattern Recognit"},{"issue":"2","key":"869_CR21","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/s10044-008-0104-3","volume":"12","author":"Y Song","year":"2009","unstructured":"Song Y, Zhang C, Lee J, Wang F, Xiang S, Zhang D (2009) Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images. Pattern Anal Appl 12(2):99\u2013115","journal-title":"Pattern Anal Appl"},{"key":"869_CR22","unstructured":"Trohidis K, Tsoumakas G, Kalliris G, Vlahavas IP (2008) Multi-label classification of music into emotions. In: ISMIR, vol 8"},{"issue":"2","key":"869_CR23","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/s10044-012-0298-2","volume":"16","author":"W Tu","year":"2013","unstructured":"Tu W, Sun S (2013) Semi-supervised feature extraction for EEG classification. Pattern Anal Appl 16(2):213\u2013222","journal-title":"Pattern Anal Appl"},{"issue":"2","key":"869_CR24","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1109\/TASL.2007.913750","volume":"16","author":"D Turnbull","year":"2008","unstructured":"Turnbull D, Barrington L, Torres D, Lanckriet G (2008) Semantic annotation and retrieval of music and sound effects. IEEE Trans Audio Speech Lang Process 16(2):467\u2013476","journal-title":"IEEE Trans Audio Speech Lang Process"},{"key":"869_CR25","doi-asserted-by":"crossref","unstructured":"Wang Q, Ruan L, Zhang Z, Si L (2013) Learning compact hashing codes for efficient tag completion and prediction. In: Proceedings of the 22nd ACM international conference on information and knowledge management","DOI":"10.1145\/2505515.2505649"},{"key":"869_CR26","doi-asserted-by":"crossref","unstructured":"Wu B, Lyu S, Ghanem B (2016) Constrained submodular minimization for missing labels and class imbalance in multi-label learning. In: AAAI","DOI":"10.1609\/aaai.v30i1.10186"},{"key":"869_CR27","unstructured":"Xu M, Jin R, Zhou Z-H (2013) Speedup matrix completion with side information: application to multi-label learning. In: Advances in neural information processing systems, pp 2301\u20132309"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-020-00869-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10044-020-00869-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-020-00869-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T20:19:33Z","timestamp":1722457173000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10044-020-00869-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,19]]},"references-count":27,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,8]]}},"alternative-id":["869"],"URL":"https:\/\/doi.org\/10.1007\/s10044-020-00869-6","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"type":"print","value":"1433-7541"},{"type":"electronic","value":"1433-755X"}],"subject":[],"published":{"date-parts":[[2020,2,19]]},"assertion":[{"value":"18 November 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 February 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}