{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T20:53:14Z","timestamp":1764276794837,"version":"3.37.3"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2016,1,21]],"date-time":"2016-01-21T00:00:00Z","timestamp":1453334400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61472172"],"award-info":[{"award-number":["61472172"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008279","name":"Research Funding of Ludong University","doi-asserted-by":"crossref","award":["27870301"],"award-info":[{"award-number":["27870301"]}],"id":[{"id":"10.13039\/501100008279","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2017,8]]},"DOI":"10.1007\/s00521-016-2189-8","type":"journal-article","created":{"date-parts":[[2016,1,21]],"date-time":"2016-01-21T06:40:38Z","timestamp":1453358438000},"page":"2293-2301","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Supervised multiview learning based on simultaneous learning of multiview intact and single view classifier"],"prefix":"10.1007","volume":"28","author":[{"given":"Qingjun","family":"Wang","sequence":"first","affiliation":[]},{"given":"Haiyan","family":"Lv","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Yue","sequence":"additional","affiliation":[]},{"given":"Eugene","family":"Mitchell","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,1,21]]},"reference":[{"key":"2189_CR1","unstructured":"Charuvaka A, Rangwala H (2015) Convex multi-task relationship learning using hinge loss. In: IEEE SSCI 2014\u20142014 IEEE symposium series on computational intelligence\u2014CIDM 2014: 2014 IEEE symposium on computational intelligence and data mining, Proceedings, pp 63\u201370"},{"issue":"12","key":"2189_CR2","doi-asserted-by":"crossref","first-page":"2365","DOI":"10.1109\/TPAMI.2012.64","volume":"34","author":"N Chen","year":"2012","unstructured":"Chen N, Zhu J, Sun F, Xing E (2012) Large-margin predictive latent subspace learning for multiview data analysis. IEEE Trans Pattern Anal Mach Intell 34(12):2365\u20132378","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2189_CR3","doi-asserted-by":"publisher","unstructured":"Chen PT, Chen F, Qian Z (2015) Road traffic congestion monitoring in social media with hinge-loss markov random fields. In: 2014 IEEE international conference on data mining (ICDM), pp 80\u201389. doi: 10.1109\/ICDM.2014.139","DOI":"10.1109\/ICDM.2014.139"},{"issue":"4","key":"2189_CR4","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1007\/s12652-015-0257-z","volume":"6","author":"YW Chen","year":"2015","unstructured":"Chen YW, Wang JL, Cai YQ, Du JX (2015) A method for chinese text classification based on apparent semantics and latent aspects. J Ambient Intell Humaniz Comput 6(4):473\u2013480","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"2189_CR5","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.neucom.2014.12.041","volume":"155","author":"A Fakeri-Tabrizi","year":"2015","unstructured":"Fakeri-Tabrizi A, Amini MR, Goutte C, Usunier N (2015) Multiview self-learning. Neurocomputing 155:117\u2013127","journal-title":"Neurocomputing"},{"key":"2189_CR6","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.patrec.2015.07.028","volume":"65","author":"G Feng","year":"2015","unstructured":"Feng G, Guo J, Jing BY, Sun T (2015) Feature subset selection using naive bayes for text classification. Pattern Recogn Lett 65:109\u2013115. doi: 10.1016\/j.patrec.2015.07.028","journal-title":"Pattern Recogn Lett"},{"key":"2189_CR7","doi-asserted-by":"crossref","unstructured":"Feng Y, Xiao J, Zhuang Y, Liu X (2013) Adaptive unsupervised multi-view feature selection for visual concept recognition. In: Lee KM, Matsushita Y, Rehg JM, Hu Z (eds) Computer Vision \u2013 ACCV 2012: 11th Asian conference on computer vision, Daejeon, Korea, November 5\u20139, 2012, revised selected papers, Part I. Lecture notes in computer science, vol 7724. Springer, Berlin, Heidelberg, pp 343\u2013357","DOI":"10.1007\/978-3-642-37331-2_26"},{"issue":"6","key":"2189_CR8","doi-asserted-by":"crossref","first-page":"1264","DOI":"10.1080\/00949655.2013.874424","volume":"85","author":"C Gallagher","year":"2015","unstructured":"Gallagher C, Fisher T, Shen J (2015) A cauchy estimator test for autocorrelation. J Stat Comput Simul 85(6):1264\u20131276","journal-title":"J Stat Comput Simul"},{"issue":"7","key":"2189_CR9","doi-asserted-by":"crossref","first-page":"3126","DOI":"10.1109\/TIP.2014.2326001","volume":"23","author":"J Gui","year":"2014","unstructured":"Gui J, Tao D, Sun Z, Luo Y, You X, Tang Y (2014) Group sparse multiview patch alignment framework with view consistency for image classification. IEEE Trans Image Process 23(7):3126\u20133137","journal-title":"IEEE Trans Image Process"},{"key":"2189_CR10","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.engappai.2014.07.020","volume":"36","author":"M Hajmohammadi","year":"2014","unstructured":"Hajmohammadi M, Ibrahim R, Selamat A (2014) Cross-lingual sentiment classification using multiple source languages in multi-view semi-supervised learning. Eng Appl Artif Intell 36:195\u2013203","journal-title":"Eng Appl Artif Intell"},{"key":"2189_CR11","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.dss.2015.04.002","volume":"74","author":"A Hogenboom","year":"2015","unstructured":"Hogenboom A, Frasincar F, De Jong F, Kaymak U (2015) Polarity classification using structure-based vector representations of text. Decis Support Syst 74:46\u201356","journal-title":"Decis Support Syst"},{"issue":"2","key":"2189_CR12","doi-asserted-by":"crossref","first-page":"1108","DOI":"10.1137\/120891897","volume":"52","author":"M Idan","year":"2014","unstructured":"Idan M, Speyer J (2014) Multivariate cauchy estimator with scalar measurement and process noises. SIAM J Control Optim 52(2):1108\u20131141","journal-title":"SIAM J Control Optim"},{"key":"2189_CR13","doi-asserted-by":"crossref","unstructured":"Jaszewski M, Parameswaran S, Hallenborg E, Bagnall B (2015) Evaluation of maritime object detection methods for full motion video applications using the PASCAL VOC challenge framework. In: Proceedings of SPIE\u2014the international society for optical engineering, vol 9407, p. 94070Y","DOI":"10.1117\/12.2175585"},{"key":"2189_CR14","doi-asserted-by":"publisher","unstructured":"Jiang F, Jia L, Sheng X, LeMieux R (2015) Manifold regularization in structured output space for semi-supervised structured output prediction. Neural Comput Appl 1\u201310. doi: 10.1007\/s00521-015-2029-2","DOI":"10.1007\/s00521-015-2029-2"},{"issue":"7","key":"2189_CR15","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1007\/s00138-013-0556-3","volume":"25","author":"Y Jiang","year":"2014","unstructured":"Jiang Y, Liu J, Li Z, Lu H (2014) Semi-supervised unified latent factor learning with multi-view data. Mach Vis Appl 25(7):1635\u20131645","journal-title":"Mach Vis Appl"},{"key":"2189_CR16","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-015-0174-2","author":"B Koopman","year":"2015","unstructured":"Koopman B, Karimi S, Nguyen A, McGuire R, Muscatello D, Kemp M, Truran D, Zhang M, Thackway S (2015) Automatic classification of diseases from free-text death certificates for real-time surveillance. BMC Med Inform Decis Mak. doi: 10.1186\/s12911-015-0174-2","journal-title":"BMC Med Inform Decis Mak"},{"key":"2189_CR17","doi-asserted-by":"crossref","unstructured":"Kuehne H, Jhuang H, Garrote E, Poggio T, Serre T (2011) Hmdb: A large video database for human motion recognition. In: Proceedings of the IEEE international conference on computer vision, pp 2556\u20132563","DOI":"10.1109\/ICCV.2011.6126543"},{"issue":"9","key":"2189_CR18","doi-asserted-by":"crossref","first-page":"2589","DOI":"10.1109\/TKDE.2015.2451616","volume":"27","author":"N Kumar Nagwani","year":"2015","unstructured":"Kumar Nagwani N (2015) A comment on \u201ca similarity measure for text classification and clustering\u201d. IEEE Trans Knowl Data Eng 27(9):2589\u20132590","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"4","key":"2189_CR19","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1007\/s00521-014-1770-2","volume":"26","author":"L La","year":"2015","unstructured":"La L, Wang N, Zhou DP (2015) Improving reading comprehension step by step using online-boost text readability classification system. Neural Comput Appl 26(4):929\u2013939","journal-title":"Neural Comput Appl"},{"issue":"10","key":"2189_CR20","first-page":"2040","volume":"42","author":"XX Li","year":"2014","unstructured":"Li XX, Li RF, Feng FX, Cao J, Wang XJ (2014) Multi-view supervised latent dirichlet allocation. Acta Electron Sin 42(10):2040\u20132044","journal-title":"Acta Electron Sin"},{"issue":"6","key":"2189_CR21","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1109\/TNNLS.2014.2335234","volume":"26","author":"J Liu","year":"2015","unstructured":"Liu J, Jiang Y, Li Z, Zhou ZH, Lu H (2015) Partially shared latent factor learning with multiview data. IEEE Trans Neural Netw Learn Syst 26(6):1233\u20131246","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"2189_CR22","doi-asserted-by":"publisher","unstructured":"Liu X, Wang J, Yin M, Edwards B, Xu P (2015) Supervised learning of sparse context reconstruction coefficients for data representation and classification. Neural Comput Appl 1\u20139. doi: 10.1007\/s00521-015-2042-5","DOI":"10.1007\/s00521-015-2042-5"},{"issue":"5","key":"2189_CR23","doi-asserted-by":"crossref","first-page":"1833","DOI":"10.1007\/s11771-015-2702-8","volume":"22","author":"J Long","year":"2015","unstructured":"Long J, Wang LD, Li ZD, Zhang ZP, Yang L (2015) Wordnet-based lexical semantic classification for text corpus analysis. J Central South Univ 22(5):1833\u20131840","journal-title":"J Central South Univ"},{"key":"2189_CR24","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/329753","author":"H Lu","year":"2015","unstructured":"Lu H, Hu Z, Gao H (2015) Multiview sample classification algorithm based on L1-graph domain adaptation learning. Math Prob Eng. doi: 10.1155\/2015\/329753","journal-title":"Math Prob Eng"},{"issue":"5","key":"2189_CR25","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1109\/TNNLS.2013.2238682","volume":"24","author":"Y Luo","year":"2013","unstructured":"Luo Y, Tao D, Xu C, Xu C, Liu H, Wen Y (2013) Multiview vector-valued manifold regularization for multilabel image classification. IEEE Trans Neural Netw Learn Syst 24(5):709\u2013722","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"2189_CR26","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.asoc.2015.02.034","volume":"32","author":"K Mala","year":"2015","unstructured":"Mala K, Sadasivam V, Alagappan S (2015) Neural network based texture analysis of CT images for fatty and cirrhosis liver classification. Appl Soft Comput J 32:80\u201386","journal-title":"Appl Soft Comput J"},{"issue":"3\u20134","key":"2189_CR27","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1007\/s00521-012-1025-z","volume":"23","author":"A Mohanty","year":"2013","unstructured":"Mohanty A, Senapati M, Beberta S, Lenka S (2013) Texture-based features for classification of mammograms using decision tree. Neural Comput Appl 23(3\u20134):1011\u20131017","journal-title":"Neural Comput Appl"},{"issue":"7\u20138","key":"2189_CR28","doi-asserted-by":"crossref","first-page":"1499","DOI":"10.1007\/s00521-011-0797-x","volume":"22","author":"N Petrov","year":"2013","unstructured":"Petrov N, Georgieva A, Jordanov I (2013) Self-organizing maps for texture classification. Neural Comput Appl 22(7\u20138):1499\u20131508","journal-title":"Neural Comput Appl"},{"issue":"4","key":"2189_CR29","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1109\/MSP.2015.2409557","volume":"32","author":"D Picard","year":"2015","unstructured":"Picard D, Gosselin PH, Gaspard MC (2015) Challenges in content-based image indexing of cultural heritage collections: support vector machine active learning with applications to text classification. IEEE Signal Process Mag 32(4):95\u2013102","journal-title":"IEEE Signal Process Mag"},{"key":"2189_CR30","unstructured":"Quadrianto N, Lampert C (2011) Learning multi-view neighborhood preserving projections. In: Proceedings of the 28th international conference on machine learning (ICML-11), pp 425\u2013432"},{"key":"2189_CR31","unstructured":"Sindhwani V, Niyogi P, Belkin M (2005) A co-regularization approach to semi-supervised learning with multiple views. In: Proceedings of ICML workshop on learning with multiple views, pp 74\u201379"},{"key":"2189_CR32","doi-asserted-by":"crossref","unstructured":"Sindhwani V, Rosenberg DS (2008) An RKHS for multi-view learning and manifold co-regularization. In: Proceedings of the 25th international conference on machine learning, pp 976\u2013983. ACM","DOI":"10.1145\/1390156.1390279"},{"key":"2189_CR33","doi-asserted-by":"publisher","unstructured":"Sublemontier JH (2013) Unsupervised collaborative boosting of clustering: an unifying framework for multi-view clustering, multiple consensus clusterings and alternative clustering. In: International joint conference on neural networks (IJCNN 2013), pp 1\u20138. doi: 10.1109\/IJCNN.2013.6706911","DOI":"10.1109\/IJCNN.2013.6706911"},{"issue":"7\u20138","key":"2189_CR34","doi-asserted-by":"crossref","first-page":"2031","DOI":"10.1007\/s00521-013-1362-6","volume":"23","author":"S Sun","year":"2013","unstructured":"Sun S (2013) A survey of multi-view machine learning. Neural Comput Appl 23(7\u20138):2031\u20132038","journal-title":"Neural Comput Appl"},{"key":"2189_CR35","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.neucom.2014.09.080","volume":"160","author":"JJY Wang","year":"2015","unstructured":"Wang JJY, Wang Y, Jing BY, Gao X (2015) Regularized maximum correntropy machine. Neurocomputing 160:85\u201392","journal-title":"Neurocomputing"},{"key":"2189_CR36","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/924090","author":"Z Wang","year":"2014","unstructured":"Wang Z, Sun X, Sun L, Huang Y (2014) Multiview discriminative geometry preserving projection for image classification. Sci World J. doi: 10.1155\/2014\/924090","journal-title":"Sci World J"},{"key":"2189_CR37","unstructured":"Williams K, Wu J, Choudhury S, Khabsa M, Giles C (2014) Scholarly big data information extraction and integration in the CiteSeer digital library. In: Proceedings\u2014international conference on data engineering, pp 68\u201373"},{"issue":"4","key":"2189_CR38","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1007\/s00521-011-0647-x","volume":"21","author":"TX Wu","year":"2012","unstructured":"Wu TX, Lian XC, Lu BL (2012) Multi-view gender classification using symmetry of facial images. Neural Comput Appl 21(4):661\u2013669","journal-title":"Neural Comput Appl"},{"key":"2189_CR39","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.asoc.2015.03.039","volume":"32","author":"A Yadav","year":"2015","unstructured":"Yadav A, Anand R, Dewal M, Gupta S (2015) Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species. Appl Soft Comput J 32:101\u2013112","journal-title":"Appl Soft Comput J"},{"issue":"12","key":"2189_CR40","doi-asserted-by":"crossref","first-page":"2431","DOI":"10.1109\/TCYB.2014.2307862","volume":"44","author":"J Yu","year":"2014","unstructured":"Yu J, Rui Y, Tang Y, Tao D (2014) High-order distance-based multiview stochastic learning in image classification. IEEE Trans Cybern 44(12):2431\u20132442","journal-title":"IEEE Trans Cybern"},{"key":"2189_CR41","doi-asserted-by":"publisher","DOI":"10.1145\/2735521","author":"ZJ Zha","year":"2015","unstructured":"Zha ZJ, Yang Y, Tang J, Wang M, Chua TS (2015) Robust multiview feature learning for RGB-D image understanding. ACM Trans Intell Syst Technol. doi: 10.1145\/2735521","journal-title":"ACM Trans Intell Syst Technol"},{"issue":"3","key":"2189_CR42","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2168752.2168767","volume":"3","author":"D Zhai","year":"2012","unstructured":"Zhai D, Chang H, Shan S, Chen X, Gao W (2012) Multiview metric learning with global consistency and local smoothness. ACM Trans Intell Syst Technol 3(3):1\u201322","journal-title":"ACM Trans Intell Syst Technol"},{"key":"2189_CR43","unstructured":"Zhang D, Wang F, Zhang C, Li T (2008) Multi-view local learning. In: Proceedings of the national conference on artificial intelligence, vol 2, pp 752\u2013757"},{"key":"2189_CR44","doi-asserted-by":"crossref","unstructured":"Zhao X, Evans N, Dugelay JL (2013) Unsupervised multi-view dimensionality reduction with application to audio-visual speaker retrieval. In: Proceedings of the 2013 IEEE international workshop on information forensics and security, WIFS 2013, pp 7\u201312","DOI":"10.1109\/WIFS.2013.6707786"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-016-2189-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2189-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2189-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2189-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,16]],"date-time":"2020-05-16T10:14:18Z","timestamp":1589624058000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-016-2189-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,1,21]]},"references-count":44,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2017,8]]}},"alternative-id":["2189"],"URL":"https:\/\/doi.org\/10.1007\/s00521-016-2189-8","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2016,1,21]]}}}