{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T15:04:18Z","timestamp":1761663858655,"version":"3.37.3"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2019,2,9]],"date-time":"2019-02-09T00:00:00Z","timestamp":1549670400000},"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":["61832016,61672520"],"award-info":[{"award-number":["61832016,61672520"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702488"],"award-info":[{"award-number":["61702488"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1007\/s11042-019-7271-7","type":"journal-article","created":{"date-parts":[[2019,2,9]],"date-time":"2019-02-09T15:03:40Z","timestamp":1549724620000},"page":"19305-19323","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Selective clustering for representative paintings selection"],"prefix":"10.1007","volume":"78","author":[{"given":"Yingying","family":"Deng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7399-7011","authenticated-orcid":false,"given":"Weiming","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuzhang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oliver","family":"Deussen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changsheng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,2,9]]},"reference":[{"key":"7271_CR1","unstructured":"Arora RS, Elgammal A (2012) Towards automated classification of fine-art painting style: A comparative study. In: Proceedings of the 21st international conference on pattern recognition (ICPR), pp 3541\u2013 3544"},{"key":"7271_CR2","first-page":"1823","volume":"9","author":"PL Bartlett","year":"2008","unstructured":"Bartlett PL, Wegkamp MH (2008) Classification with a reject option using a hinge loss. J Mach Learn Res 9:1823\u20131840","journal-title":"J Mach Learn Res"},{"key":"7271_CR3","unstructured":"Chen CC, Amato G, Boujemaa N, Inria I, Pitas I, Alexander K, Kiernan K, Li CS, Wang ZJ (2002) Report of the delos-nsf working group on digital imagery for significant cultural and historical materials"},{"key":"7271_CR4","unstructured":"Chu WT, Wu YL (2016) Deep correlation features for image style classification. In: Proceedings of the 2016 ACM on multimedia conference, MM \u201916. ACM, New York, pp 402\u2013406"},{"issue":"4","key":"7271_CR5","doi-asserted-by":"publisher","first-page":"101:1","DOI":"10.1145\/2185520.2185597","volume":"31","author":"C Doersch","year":"2012","unstructured":"Doersch C, Singh S, Gupta A, Sivic J, Efros AA (2012) What makes paris look like paris?. ACM Trans Graph 31(4):101:1\u2013101:9","journal-title":"ACM Trans Graph"},{"key":"7271_CR6","unstructured":"Dumoulin V, Shlens J, Kudlur M (2017) A learned representation for artistic style. In: International conference on learning representations (ICLR). arXiv: 1610.07629"},{"key":"7271_CR7","unstructured":"Dumoulin V, Shlens J, Kudlur M (2017) A learned representation for artistic style. In: ICLR, pp 9"},{"issue":"23","key":"7271_CR8","doi-asserted-by":"crossref","first-page":"298","DOI":"10.21136\/CMJ.1973.101168","volume":"23","author":"M Fiedler","year":"1973","unstructured":"Fiedler M (1973) Algebraic connectivity of graphs. Czechoslov Math J 23(23):298\u2013305","journal-title":"Czechoslov Math J"},{"issue":"12","key":"7271_CR9","doi-asserted-by":"publisher","first-page":"2099","DOI":"10.1016\/S0031-3203(00)00059-5","volume":"33","author":"G Fumera","year":"2000","unstructured":"Fumera G, Roli F, Giacinto G (2000) Reject option with multiple thresholds. Pattern Recogn 33(12):2099\u20132101","journal-title":"Pattern Recogn"},{"key":"7271_CR10","doi-asserted-by":"crossref","unstructured":"Gatys LA, Ecker AS, Bethge M (2016) Image style transfer using convolutional neural networks. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 2414\u20132423","DOI":"10.1109\/CVPR.2016.265"},{"key":"7271_CR11","unstructured":"Geifman Y, El-Yaniv R (2017) Selective classification for deep neural networks. In: Advances in neural information processing systems 30, pp 4878\u20134887. Curran Associates, Inc"},{"key":"7271_CR12","doi-asserted-by":"crossref","unstructured":"Golge E, Duygulu P (2015) FAME: Face association through model evolution. In: IEEE conference on computer vision and pattern recognition workshops (CVPRW), pp 43\u201349","DOI":"10.1109\/CVPRW.2015.7301353"},{"key":"7271_CR13","unstructured":"Grandvalet Y, Rakotomamonjy A, Keshet J, Canu S (2009) Support vector machines with a reject option. In: Advances in neural information processing systems 21, pp 537\u2013544. Curran Associates, Inc"},{"issue":"4","key":"7271_CR14","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1002\/cjs.5550340410","volume":"34","author":"R Herbei","year":"2006","unstructured":"Herbei R, Wegkamp MH (2006) Classification with reject option. Can J Stat 34(4):709\u2013721","journal-title":"Can J Stat"},{"key":"7271_CR15","doi-asserted-by":"crossref","unstructured":"Hicsonmez S, Samet N, Sener F, Duygulu P (2017) DRAW: Deep networks for recognizing styles of artists who illustrate children\u2019s books. In: Proceedings of the 2017 ACM on international conference on multimedia retrieval, ICMR\u201917. ACM, New York, pp 338\u2013346","DOI":"10.1145\/3078971.3078982"},{"issue":"3","key":"7271_CR16","doi-asserted-by":"publisher","first-page":"33:1","DOI":"10.1145\/3092817","volume":"36","author":"R Hu","year":"2017","unstructured":"Hu R, Li W, Kaick OV, Huang H, Averkiou M, Cohen-Or D, Zhang H (2017) Co-locating style-defining elements on 3d shapes. ACM Trans Graph 36(3):33:1\u201333:15","journal-title":"ACM Trans Graph"},{"issue":"4","key":"7271_CR17","doi-asserted-by":"publisher","first-page":"1279","DOI":"10.1073\/pnas.0910530107","volume":"107","author":"JM Hughes","year":"2010","unstructured":"Hughes JM, Graham DJ, Rockmore DN (2010) Quantification of artistic style through sparse coding analysis in the drawings of pieter bruegel the elder. Proc Natl Acad Sci 107(4):1279\u20131283","journal-title":"Proc Natl Acad Sci"},{"key":"7271_CR18","doi-asserted-by":"crossref","unstructured":"Jain A, Gupta A, Rodriguez M, Davis LS (2013) Representing videos using mid-level discriminative patches. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 2571\u2013 2578","DOI":"10.1109\/CVPR.2013.332"},{"key":"7271_CR19","doi-asserted-by":"crossref","unstructured":"Jangtjik KA, Yeh MC, Hua KL (2016) Artist-based classification via deep learning with multi-scale weighted pooling. In: Proceedings of the 2016 ACM on Multimedia Conference, MM \u201916. ACM, New York, pp 635\u2013639","DOI":"10.1145\/2964284.2967299"},{"key":"7271_CR20","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1016\/j.ins.2017.11.061","volume":"430","author":"B Karmakar","year":"2018","unstructured":"Karmakar B, Pal NR (2018) How to make a neural network say \u201cdon\u2019t know\u201d. Inf Sci 430:444\u2013466","journal-title":"Inf Sci"},{"key":"7271_CR21","doi-asserted-by":"crossref","unstructured":"Karypis G, Han EH, Kumar V (1999) Chameleon: Hierarchical clustering using dynamic modeling. IEEE computer society press","DOI":"10.1109\/2.781637"},{"key":"7271_CR22","first-page":"7370:1","volume":"4","author":"D Kim","year":"2014","unstructured":"Kim D, Son SW, Jeong H (2014) Large-scale quantitative analysis of painting arts. Sci Report 4:7370:1\u20137370:7","journal-title":"Sci Report"},{"issue":"4","key":"7271_CR23","doi-asserted-by":"publisher","first-page":"1068","DOI":"10.1109\/TSP.2016.2630038","volume":"65","author":"Q Li","year":"2017","unstructured":"Li Q, Vempaty A, Varshney LR, Varshney PK (2017) Multi-object classification via crowdsourcing with a reject option. IEEE Trans Signal Process 65 (4):1068\u20131081","journal-title":"IEEE Trans Signal Process"},{"issue":"3","key":"7271_CR24","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1007\/s11263-016-0945-y","volume":"121","author":"Y Li","year":"2017","unstructured":"Li Y, Liu L, Shen C, Hengel AV (2017) Mining mid-level visual patterns with deep cnn activations. Int J Comput Vis 121(3):344\u2013364","journal-title":"Int J Comput Vis"},{"issue":"4","key":"7271_CR25","doi-asserted-by":"publisher","first-page":"120:1","DOI":"10.1145\/3072959.3073683","volume":"36","author":"J Liao","year":"2017","unstructured":"Liao J, Yao Y, Yuan L, Hua G, Kang SB (2017) Visual attribute transfer through deep image analogy. ACM Trans Graph 36(4):120:1\u2013120:15","journal-title":"ACM Trans Graph"},{"key":"7271_CR26","unstructured":"Liu G, Yan Y, Ricci E, Yang Y, Han Y, Winkler S, Sebe N (2015) Inferring painting style with multi-task dictionary learning. In: Proceedings of the 24th international conference on artificial intelligence, IJCAI\u201915, pp 2162\u20132168. AAAI Press"},{"key":"7271_CR27","doi-asserted-by":"crossref","unstructured":"Ma D, Gao F, Bai Y, Lou Y, Wang S, Huang T, Duan L (2017) From part to whole: Who is behind the painting?. In: Proceedings of the 25rd ACM international conference on multimedia, pp 1174\u20131182. ACM","DOI":"10.1145\/3123266.3123325"},{"key":"7271_CR28","unstructured":"Macqueen J (1965) Some methods for classification and analysis of multivariate observations. In: Proceedings of berkeley symposium on mathematical statistics and probability, pp 281\u2013297"},{"key":"7271_CR29","doi-asserted-by":"crossref","unstructured":"Mao H, Cheung M, She J (2017) Deepart: Learning joint representation of visual arts. In: Proceedings of the 25rd ACM international conference on multimedia, pp 1183\u20131191. ACM","DOI":"10.1145\/3123266.3123405"},{"key":"7271_CR30","unstructured":"Pudil P, Novovicova J, Blaha S, Kittler J (1992) Multistage pattern recognition with reject option. In: 11th IAPR international conference on pattern recognition, 1992. Vol. II. conference B: Pattern recognition methodology and systems, Proceedings, pp 92\u201395. IEEE"},{"issue":"6191","key":"7271_CR31","doi-asserted-by":"publisher","first-page":"1492","DOI":"10.1126\/science.1242072","volume":"344","author":"A Rodriguez","year":"2014","unstructured":"Rodriguez A, Laio A (2014) Clustering by fast search and find of density peaks. Science 344(6191):1492\u20131496","journal-title":"Science"},{"key":"7271_CR32","doi-asserted-by":"crossref","unstructured":"Sartori A, Culibrk D, Yan Y, Sebe N (2015) Who\u2019s afraid of itten: Using the art theory of color combination to analyze emotions in abstract paintings. In: Proceedings of the 23rd ACM international conference on multimedia, MM\u201915. ACM, New York, pp 311\u2013320","DOI":"10.1145\/2733373.2806250"},{"key":"7271_CR33","unstructured":"Sartori A, Yan Y, \u00d6zbal G, Salah AAA, Salah AA, Sebe N (2015) Looking at mondrian\u2019s victory boogie-woogie: What do i feel?. In: Proceedings of the 24th international conference on artificial intelligence, IJCAI\u201915, pp 2503\u20132509. AAAI Press"},{"issue":"37","key":"7271_CR34","doi-asserted-by":"publisher","first-page":"9814","DOI":"10.1073\/pnas.1700770114","volume":"114","author":"SA Shah","year":"2017","unstructured":"Shah SA, Koltun V (2017) Robust continuous clustering. Proc Natl Acad Sci 114(37):9814\u20139819","journal-title":"Proc Natl Acad Sci"},{"issue":"2","key":"7271_CR35","doi-asserted-by":"publisher","first-page":"8:1","DOI":"10.1145\/1670671.1670672","volume":"7","author":"L Shamir","year":"2010","unstructured":"Shamir L, Macura T, Orlov N, Eckley DM, Goldberg IG (2010) Impressionism, expressionism, surrealism: Automated recognition of painters and schools of art. ACM Trans Appl Percept 7(2):8:1\u2013 8:17","journal-title":"ACM Trans Appl Percept"},{"issue":"2","key":"7271_CR36","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/j.patcog.2008.04.016","volume":"42","author":"J Shen","year":"2009","unstructured":"Shen J (2009) Stochastic modeling western paintings for effective classification. Pattern Recogn 42(2):293\u2013301","journal-title":"Pattern Recogn"},{"issue":"2","key":"7271_CR37","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1214\/13-AOS1199","volume":"42","author":"M Soltanolkotabi","year":"2013","unstructured":"Soltanolkotabi M, Elhamifar E, Cand\u00e8s EJ (2013) Robust subspace clustering. Ann Statist 42(2):669\u2013699","journal-title":"Ann Statist"},{"key":"7271_CR38","unstructured":"Srivastava A, Zou J, Sutton C (2016) Clustering with a reject option: Interactive clustering as bayesian prior elicitation. In: ICML workshop on human interpretability in machinelearning(WHI). New York, NY, USA"},{"issue":"10","key":"7271_CR39","doi-asserted-by":"publisher","first-page":"1565","DOI":"10.1016\/j.patrec.2008.03.010","volume":"29","author":"DM Tax","year":"2008","unstructured":"Tax DM, Duin RP (2008) Growing a multi-class classifier with a reject option. Pattern Recogn Lett 29(10):1565\u20131570","journal-title":"Pattern Recogn Lett"},{"issue":"6735","key":"7271_CR40","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1038\/20833","volume":"399","author":"RP Taylor","year":"1999","unstructured":"Taylor RP, Micolich AP, Jonas D (1999) Fractal analysis of pollock\u2019s drip paintings. Nature 399(6735): 422\u2013422","journal-title":"Nature"},{"issue":"4","key":"7271_CR41","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1109\/MSP.2015.2406955","volume":"32","author":"N Noord van","year":"2015","unstructured":"van Noord N, Hendriks E, Postma E (2015) Toward discovery of the artist\u2019s style: Learning to recognize artists by their artworks. IEEE Signal Process Mag 32(4):46\u201354","journal-title":"IEEE Signal Process Mag"},{"key":"7271_CR42","doi-asserted-by":"crossref","unstructured":"Wang J, Yang J, Yu K, Lv F, Huang T, Gong Y (2010) Locality-constrained linear coding for image classification. In: Computer vision and pattern recognition, pp 3360\u20133367","DOI":"10.1109\/CVPR.2010.5540018"},{"key":"7271_CR43","unstructured":"Wikiart.org - visual art encyclopedia. https:\/\/www.wikiart.org\/\/ . Accessed January 30, 2018"},{"issue":"2","key":"7271_CR44","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1162\/LEON_a_00366","volume":"45","author":"K Zhang","year":"2012","unstructured":"Zhang K, Harrell S, Ji X (2012) Computational aesthetics: on the complexity of computer-generated paintings. Leonardo 45(2):243\u2013248","journal-title":"Leonardo"},{"key":"7271_CR45","doi-asserted-by":"crossref","unstructured":"Zhang X, Hu BG (2012) Learning in the class imbalance problem when costs are unknown for errors and rejects. In: 2012 IEEE 12th international conference on data mining workshops (ICDMW), pp 194\u2013201. IEEE","DOI":"10.1109\/ICDMW.2012.167"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7271-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-7271-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7271-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,27]],"date-time":"2020-11-27T05:54:30Z","timestamp":1606456470000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-7271-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,9]]},"references-count":45,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2019,7]]}},"alternative-id":["7271"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-7271-7","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2019,2,9]]},"assertion":[{"value":"3 May 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 December 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 January 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 February 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}