{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:17:11Z","timestamp":1740107831424,"version":"3.37.3"},"reference-count":95,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2018,5,23]],"date-time":"2018-05-23T00:00:00Z","timestamp":1527033600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100006701","name":"Umm Al-Qura University","doi-asserted-by":"publisher","award":["15-COM-3-1-0007"],"award-info":[{"award-number":["15-COM-3-1-0007"]}],"id":[{"id":"10.13039\/501100006701","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1007\/s00500-018-3244-4","type":"journal-article","created":{"date-parts":[[2018,5,23]],"date-time":"2018-05-23T02:39:07Z","timestamp":1527043147000},"page":"5799-5813","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures"],"prefix":"10.1007","volume":"23","author":[{"given":"Sami","family":"Bourouis","sequence":"first","affiliation":[]},{"given":"Faisal R.","family":"Al-Osaimi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7224-7940","authenticated-orcid":false,"given":"Nizar","family":"Bouguila","sequence":"additional","affiliation":[]},{"given":"Hassen","family":"Sallay","sequence":"additional","affiliation":[]},{"given":"Fahd","family":"Aldosari","sequence":"additional","affiliation":[]},{"given":"Mohamed","family":"Al Mashrgy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,5,23]]},"reference":[{"issue":"3","key":"3244_CR1","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1006\/cviu.1998.0744","volume":"73","author":"JK Aggarwal","year":"1999","unstructured":"Aggarwal JK, Cai Q (1999) Human motion analysis: a review. Comput Vis Image Underst 73(3):428\u2013440","journal-title":"Comput Vis Image Underst"},{"key":"3244_CR2","doi-asserted-by":"crossref","unstructured":"Allili MS, Bouguila N, Ziou D (2007) Finite generalized Gaussian mixture modeling and applications to image and video foreground segmentation. In: Proceedings of the fourth canadian conference on computer and robot vision (CRV), pp 183\u2013190","DOI":"10.1109\/CRV.2007.33"},{"issue":"6","key":"3244_CR3","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1093\/bioinformatics\/17.6.509","volume":"17","author":"P Baldi","year":"2001","unstructured":"Baldi P, Long AD (2001) A bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes. Bioinformatics 17(6):509\u2013519","journal-title":"Bioinformatics"},{"key":"3244_CR4","doi-asserted-by":"crossref","unstructured":"Bao SYZ, Sun M, Savarese S (2010) Toward coherent object detection and scene layout understanding. In: Proceedings of the EEE computer society conference on computer vision and pattern recognition (CVPR), pp 65\u201372","DOI":"10.1109\/CVPR.2010.5540229"},{"issue":"2","key":"3244_CR5","doi-asserted-by":"publisher","first-page":"1869","DOI":"10.1016\/j.eswa.2011.08.063","volume":"39","author":"T Bdiri","year":"2012","unstructured":"Bdiri T, Bouguila N (2012) Positive vectors clustering using inverted dirichlet finite mixture models. Expert Syst Appl 39(2):1869\u20131882","journal-title":"Expert Syst Appl"},{"key":"3244_CR6","first-page":"572","volume":"2004","author":"C BenAbdelkader","year":"2004","unstructured":"BenAbdelkader C, Cutler RG, Davis LS (2004) Gait recognition using image self-similarity. EURASIP J Appl Signal Process 2004:572\u2013585","journal-title":"EURASIP J Appl Signal Process"},{"issue":"6","key":"3244_CR7","doi-asserted-by":"publisher","first-page":"989","DOI":"10.3150\/bj\/1106314847","volume":"10","author":"PJ Bickel","year":"2004","unstructured":"Bickel PJ, Levina E (2004) Some theory for Fisher\u2019s linear discriminant function, \u2018naive Bayes\u2019, and some alternatives when there are many more variables than observations. Bernoulli 10(6):989\u20131010","journal-title":"Bernoulli"},{"issue":"3","key":"3244_CR8","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1109\/34.910878","volume":"23","author":"A Bobick","year":"2001","unstructured":"Bobick A, Davis J (2001) The recognition of human movement using temporal templates. IEEE Trans Pattern Anal Mach Intell 23(3):257\u2013267","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"3244_CR9","doi-asserted-by":"publisher","first-page":"3271","DOI":"10.1016\/j.asoc.2011.01.014","volume":"11","author":"CW Bong","year":"2011","unstructured":"Bong CW, Rajeswari M (2011) Multi-objective nature-inspired clustering and classification techniques for image segmentation. Appl Soft Comput 11(4):3271\u20133282","journal-title":"Appl Soft Comput"},{"key":"3244_CR10","doi-asserted-by":"crossref","unstructured":"Bouguila N (2007) Spatial color image databases summarization. In: Proceedings of the IEEE international conference on acoustics, speech, and signal processing, ICASSP, pp 953\u2013956","DOI":"10.1109\/ICASSP.2007.366067"},{"issue":"6","key":"3244_CR11","doi-asserted-by":"publisher","first-page":"1183","DOI":"10.1016\/j.patcog.2010.12.010","volume":"44","author":"N Bouguila","year":"2011","unstructured":"Bouguila N (2011) Bayesian hybrid generative discriminative learning based on finite liouville mixture models. Pattern Recognit 44(6):1183\u20131200","journal-title":"Pattern Recognit"},{"issue":"2","key":"3244_CR12","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s10044-008-0111-4","volume":"12","author":"N Bouguila","year":"2009","unstructured":"Bouguila N, Ziou D, Hammoud RI (2009) On bayesian analysis of a finite generalized dirichlet mixture via a metropolis-within-gibbs sampling. Pattern Anal Appl 12(2):151\u2013166","journal-title":"Pattern Anal Appl"},{"issue":"5","key":"3244_CR13","doi-asserted-by":"publisher","first-page":"2329","DOI":"10.1016\/j.eswa.2013.09.030","volume":"41","author":"S Bourouis","year":"2014","unstructured":"Bourouis S, Mashrgy MA, Bouguila N (2014) Bayesian learning of finite generalized inverted dirichlet mixtures: application to object classification and forgery detection. Expert Syst Appl 41(5):2329\u20132336","journal-title":"Expert Syst Appl"},{"issue":"1","key":"3244_CR14","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/s11222-011-9249-9","volume":"22","author":"C Bouveyron","year":"2012","unstructured":"Bouveyron C, Brunet C (2012) Simultaneous model-based clustering and visualization in the fisher discriminative subspace. Stat Comput 22(1):301\u2013324","journal-title":"Stat Comput"},{"issue":"12","key":"3244_CR15","doi-asserted-by":"publisher","first-page":"5075","DOI":"10.1016\/j.csda.2008.05.003","volume":"52","author":"CRB Cabral","year":"2008","unstructured":"Cabral CRB, Bolfarine H, Pereira JRG (2008) Bayesian density estimation using skew student-t-normal mixtures. Comput Stat Data Anal 52(12):5075\u20135090","journal-title":"Comput Stat Data Anal"},{"key":"3244_CR16","doi-asserted-by":"crossref","unstructured":"Cai D, Zhang C, He X (2010) Unsupervised feature selection for multi-cluster data. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining (KDD), pp 333\u2013342","DOI":"10.1145\/1835804.1835848"},{"issue":"5","key":"3244_CR17","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1109\/32.6147","volume":"14","author":"S Chang","year":"1988","unstructured":"Chang S, Yan C, Dimitroff D, Arndt T (1988) An intelligent image database system. IEEE Trans Softw Eng 14(5):681\u2013688","journal-title":"IEEE Trans Softw Eng"},{"issue":"3","key":"3244_CR18","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1111\/coin.12010","volume":"30","author":"C Chen","year":"2014","unstructured":"Chen C (2014) Feature selection based on compactness and separability: comparison with filter-based methods. Comput Intell 30(3):636\u2013656","journal-title":"Comput Intell"},{"issue":"4","key":"3244_CR19","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1198\/07350010152596673","volume":"19","author":"S Chib","year":"2001","unstructured":"Chib S, Winkelmann R (2001) Markov chain Monte Carlo analysis of correlated count data. J Bus Econ Stat 19(4):428\u2013435","journal-title":"J Bus Econ Stat"},{"key":"3244_CR20","doi-asserted-by":"crossref","unstructured":"Chomat O, Crowley J (1999) Probabilistic recognition of activity using local appearance. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR), vol 2, pp 104\u2013109","DOI":"10.1109\/CVPR.1999.784616"},{"key":"3244_CR21","unstructured":"Cohen WW, Richman J (2002) Learning to match and cluster large high-dimensional data sets for data integration. In: Proceedings of the Eighth ACM SIGKDD international conference on knowledge discovery and data mining (KDD), pp 475\u2013480"},{"key":"3244_CR22","doi-asserted-by":"crossref","unstructured":"Crandall DJ, Backstrom L, Huttenlocher DP, Kleinberg JM (2009) Mapping the world\u2019s photos. In: Proceedings of the 18th international conference on world wide web (WWW), ACM, pp 761\u2013770","DOI":"10.1145\/1526709.1526812"},{"issue":"1","key":"3244_CR23","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.asoc.2007.12.008","volume":"9","author":"S Das","year":"2009","unstructured":"Das S, Konar A (2009) Automatic image pixel clustering with an improved differential evolution. Appl Soft Comput 9(1):226\u2013236","journal-title":"Appl Soft Comput"},{"key":"3244_CR24","doi-asserted-by":"crossref","unstructured":"Davis J, Bobick A (1997) The representation and recognition of human movement using temporal templates. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR), pp 928\u2013934","DOI":"10.1109\/CVPR.1997.609439"},{"issue":"4","key":"3244_CR25","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1023\/B:STCO.0000039481.32211.5a","volume":"14","author":"JG Dias","year":"2004","unstructured":"Dias JG, Wedel M (2004) An empirical comparison of em, SEM and MCMC performance for problematic gaussian mixture likelihoods. Stat Comput 14(4):323\u2013332","journal-title":"Stat Comput"},{"key":"3244_CR26","doi-asserted-by":"crossref","unstructured":"Dollar P, Rabaud V, Cottrell G, Belongie S (2005) Behavior recognition via sparse spatio-temporal features. In: Proceedings of IEEE international workshop on visual surveillance and performance evaluation of tracking and surveillance (VS-PETS), pp 65 \u2013 72","DOI":"10.1109\/VSPETS.2005.1570899"},{"issue":"9","key":"3244_CR27","doi-asserted-by":"publisher","first-page":"1667","DOI":"10.1109\/TPAMI.2011.265","volume":"34","author":"L Duan","year":"2012","unstructured":"Duan L, Xu D, Tsang IWH, Luo J (2012) Visual event recognition in videos by learning from web data. IEEE Trans Pattern Anal Mach Intell 34(9):1667\u20131680","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3244_CR28","doi-asserted-by":"crossref","unstructured":"Duygulu P, Barnard K, de\u00a0Freitas JFG, Forsyth DA (2002) Object recognition as machine translation: learning a lexicon for a fixed image vocabulary. In: Heyden A, Sparr G, Nielsen M, Johansen P (eds) ECCV (4), Lecture notes in computer science, vol 2353. Springer, pp 97\u2013112","DOI":"10.1007\/3-540-47979-1_7"},{"issue":"1","key":"3244_CR29","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1016\/j.asoc.2009.08.002","volume":"10","author":"JM Garc\u00eda","year":"2010","unstructured":"Garc\u00eda JM, Benitez LR, Fern\u00e1ndez-Caballero A, L\u00f3pez MT (2010) Video sequence motion tracking by fuzzification techniques. Appl Soft Comput 10(1):318\u2013331","journal-title":"Appl Soft Comput"},{"issue":"2","key":"3244_CR30","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1214\/aos\/1009210550","volume":"29","author":"D Geiger","year":"2001","unstructured":"Geiger D, Heckerman D, King H, Meek C (2001) Stratified exponential families: graphical models and model selection. Ann Stat 29(2):505\u2013529","journal-title":"Ann Stat"},{"issue":"4","key":"3244_CR31","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1214\/ss\/1177011136","volume":"7","author":"A Gelman","year":"1992","unstructured":"Gelman A, Rubin DB (1992) Inference from iterative simulation using multiple sequences. Stat Sci 7(4):457\u2013472 (with discussion)","journal-title":"Stat Sci"},{"issue":"2","key":"3244_CR32","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1109\/34.982897","volume":"24","author":"E Gokcay","year":"2002","unstructured":"Gokcay E, Pr\u00edncipe JC (2002) Information theoretic clustering. IEEE Trans Pattern Anal Mach Intell 24(2):158\u2013171","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"3244_CR33","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/j.cviu.2007.11.001","volume":"111","author":"I Gondra","year":"2008","unstructured":"Gondra I, Heisterkamp DR (2008) Content-based image retrieval with the normalized information distance. Comput Vis Image Underst 111(2):219\u2013228","journal-title":"Comput Vis Image Underst"},{"key":"3244_CR34","doi-asserted-by":"crossref","unstructured":"Guha S, Rastogi R, Shim K (1998) Cure: an efficient clustering algorithm for large databases. In: Haas LM, Tiwary A (eds) SIGMOD conference. ACM Press, pp 73\u201384","DOI":"10.1145\/276305.276312"},{"key":"3244_CR35","unstructured":"Guo X, Cao X, Zhang J, Li X (2009) Mift: a mirror reflection invariant feature descriptor. In: Zha H, ichiro Taniguchi R, Maybank SJ (eds) ACCV (2), Lecture notes in computer science, vol 5995. Springer, pp 536\u2013545"},{"issue":"7","key":"3244_CR36","doi-asserted-by":"publisher","first-page":"831","DOI":"10.1109\/TPAMI.2004.32","volume":"26","author":"E Hadjidemetriou","year":"2004","unstructured":"Hadjidemetriou E, Grossberg MD, Nayar SK (2004) Multiresolution histograms and their use for recognition. IEEE Trans Pattern Anal Mach Intell 26(7):831\u2013847","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"3244_CR37","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.1109\/TNN.2005.853414","volume":"16","author":"H Hajji","year":"2005","unstructured":"Hajji H (2005) Statistical analysis of network traffic for adaptive faults detection. IEEE Trans Neural Netw 16(5):1053\u20131063","journal-title":"IEEE Trans Neural Netw"},{"issue":"10","key":"3244_CR38","doi-asserted-by":"publisher","first-page":"2013","DOI":"10.1109\/TPAMI.2011.44","volume":"33","author":"X He","year":"2011","unstructured":"He X, Ji M, Zhang C, Bao H (2011) A variance minimization criterion to feature selection using laplacian regularization. IEEE Trans Pattern Anal Mach Intell 33(10):2013\u20132025","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3244_CR39","doi-asserted-by":"crossref","unstructured":"Heitz G, Koller D (2008) Learning spatial context: using stuff to find things. In: Forsyth DA, Torr PHS, Zisserman A (eds) ECCV (1), Lecture notes in computer science, vol 5302. Springer, pp 30\u201343","DOI":"10.1007\/978-3-540-88682-2_4"},{"key":"3244_CR40","doi-asserted-by":"crossref","unstructured":"Hinton G (1999) Products of experts. In: Proceedings of the ninth international conference on artificial neural networks (ICANN), vol 1. IEEE, pp 1\u20136","DOI":"10.1049\/cp:19991075"},{"issue":"3","key":"3244_CR41","doi-asserted-by":"publisher","first-page":"1347","DOI":"10.1016\/j.csda.2007.09.005","volume":"52","author":"RKW Ho","year":"2008","unstructured":"Ho RKW, Hu I (2008) Flexible modelling of random effects in linear mixed models\u2014a bayesian approach. Comput Stat Data Anal 52(3):1347\u20131361","journal-title":"Comput Stat Data Anal"},{"issue":"1\/2","key":"3244_CR42","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1023\/A:1007617005950","volume":"42","author":"T Hofmann","year":"2001","unstructured":"Hofmann T (2001) Unsupervised learning by probabilistic latent semantic analysis. Mach Learn 42(1\/2):177\u2013196","journal-title":"Mach Learn"},{"key":"3244_CR43","unstructured":"Hsu CC, Hung TY, Lin CW, Hsu CT (2008) Video forgery detection using correlation of noise residue. In: 2008 IEEE 10th workshop on multimedia signal processing, pp 170\u2013174"},{"issue":"4","key":"3244_CR44","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1093\/biomet\/asm069","volume":"94","author":"A Jasra","year":"2007","unstructured":"Jasra A, Stephens DA, Holmes CC (2007) Population-based reversible jump Markov chain Monte Carlo. Biometrika 94(4):787\u2013807","journal-title":"Biometrika"},{"issue":"7","key":"3244_CR45","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1109\/TPAMI.2002.1017616","volume":"24","author":"T Kanungo","year":"2002","unstructured":"Kanungo T, Mount DM, Netanyahu NS, Piatko CD, Silverman R, Wu AY (2002) An efficient k-means clustering algorithm: analysis and implementation. IEEE Trans Pattern Anal Mach Intell 24(7):881\u2013892","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"3244_CR46","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1016\/j.asoc.2012.09.013","volume":"13","author":"M Karthikeyan","year":"2013","unstructured":"Karthikeyan M, Aruna P (2013) Probability based document clustering and image clustering using content-based image retrieval. Appl Soft Comput 13(2):959\u2013966","journal-title":"Appl Soft Comput"},{"issue":"3","key":"3244_CR47","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1016\/j.imavis.2006.12.004","volume":"26","author":"Z Kato","year":"2008","unstructured":"Kato Z (2008) Segmentation of color images via reversible jump MCMC sampling. Image Vis Comput 26(3):361\u2013371","journal-title":"Image Vis Comput"},{"issue":"4","key":"3244_CR48","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1109\/TIFS.2010.2074194","volume":"5","author":"M Kobayashi","year":"2010","unstructured":"Kobayashi M, Okabe T, Sato Y (2010) Detecting forgery from static-scene video based on inconsistency in noise level functions. IEEE Trans Inf Forensics Secur 5(4):883\u2013892","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"3244_CR49","doi-asserted-by":"crossref","unstructured":"Laptev I, Lindeberg T (2004) Velocity adaptation of space-time interest points. In: Proceedings of the 17th international conference on pattern recognition (ICPR), vol 1, pp 52\u201356","DOI":"10.1109\/ICPR.2004.1334003"},{"key":"3244_CR50","doi-asserted-by":"crossref","unstructured":"Lazebnik S, Schmid C, Ponce J (2006) Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR), vol\u00a02, pp 2169\u20132178","DOI":"10.1109\/CVPR.2006.68"},{"key":"3244_CR51","doi-asserted-by":"crossref","unstructured":"Leibe B, Seemann E, Schiele B (2005) Pedestrian detection in crowded scenes. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR), vol 1. IEEE Computer Society, pp 878\u2013885","DOI":"10.1109\/CVPR.2005.272"},{"key":"3244_CR52","doi-asserted-by":"crossref","unstructured":"Lienhart R, Kuranov A, Pisarevsky V (2003) Empirical analysis of detection cascades of boosted classifiers for rapid object detection. In: Michaelis B, Krell G (eds) DAGM-symposium, Lecture notes in computer science, vol 2781. Springer, pp 297\u2013304","DOI":"10.1007\/978-3-540-45243-0_39"},{"issue":"2","key":"3244_CR53","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1016\/j.jspi.2005.12.010","volume":"137","author":"TI Lin","year":"2007","unstructured":"Lin TI, Lee JC (2007) Bayesian analysis of hierarchical linear mixed modeling using the multivariate t distribution. J Stat Plan Inference 137(2):484\u2013495","journal-title":"J Stat Plan Inference"},{"issue":"449","key":"3244_CR54","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1080\/01621459.2000.10473908","volume":"95","author":"JS Liu","year":"2000","unstructured":"Liu JS, Liang F, Wong WH (2000) The multiple-try method and local optimization in Metropolis sampling. J Am Stat Assoc 95(449):121\u2013134","journal-title":"J Am Stat Assoc"},{"issue":"2","key":"3244_CR55","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/j.patrec.2003.10.007","volume":"25","author":"D Liu","year":"2004","unstructured":"Liu D, Lam K, Shen L (2004) Optimal sampling of gabor features for face recognition. Pattern Recognit Lett 25(2):267\u2013276","journal-title":"Pattern Recognit Lett"},{"issue":"6","key":"3244_CR56","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1109\/THMS.2017.2675959","volume":"47","author":"X Liu","year":"2017","unstructured":"Liu X, He GF, Peng SJ, Cheung YM, Tang YY (2017) Efficient human motion retrieval via temporal adjacent bag of words and discriminative neighborhood preserving dictionary learning. IEEE Trans Hum Mach Syst 47(6):763\u2013776","journal-title":"IEEE Trans Hum Mach Syst"},{"issue":"9","key":"3244_CR57","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1109\/TPAMI.2004.71","volume":"26","author":"MHC Law","year":"2004","unstructured":"Law MHC, Figueiredo MAT, Jain AK (2004) Simultaneous feature selection and clustering using mixture models. IEEE Trans Pattern Anal Mach Intell 26(9):1154\u20131166","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"3244_CR58","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91\u2013110","journal-title":"Int J Comput Vis"},{"key":"3244_CR59","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.knosys.2013.05.009","volume":"52","author":"R Mamat","year":"2013","unstructured":"Mamat R, Herawan T, Deris MM (2013) Mar: Maximum attribute relative of soft set for clustering attribute selection. Knowl Based Syst 52:11\u201320","journal-title":"Knowl Based Syst"},{"key":"3244_CR60","doi-asserted-by":"crossref","unstructured":"Maree R, Geurts P, Piater J, Wehenkel L (2005) Random subwindows for robust image classification. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR), vol\u00a01, pp 34\u201340","DOI":"10.1109\/CVPR.2005.287"},{"key":"3244_CR61","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.knosys.2014.01.007","volume":"59","author":"MA Mashrgy","year":"2014","unstructured":"Mashrgy MA, Bdiri T, Bouguila N (2014) Robust simultaneous positive data clustering and unsupervised feature selection using generalized inverted dirichlet mixture models. Knowl Based Syst 59:182\u2013195","journal-title":"Knowl Based Syst"},{"issue":"1","key":"3244_CR62","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.jmva.2004.02.002","volume":"90","author":"G McLachlan","year":"2004","unstructured":"McLachlan G, Khan N (2004) On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples. J Multivar Anal 90(1):90\u2013105","journal-title":"J Multivar Anal"},{"key":"3244_CR63","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/S0167-9473(02)00183-4","volume":"41","author":"G McLachlan","year":"2003","unstructured":"McLachlan G, Peel D, Bean R (2003) Modelling high-dimensional data by mixtures of factor analyzers. Comput Stat Data Anal 41:379\u2013388","journal-title":"Comput Stat Data Anal"},{"issue":"5","key":"3244_CR64","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1016\/j.jmva.2006.11.013","volume":"98","author":"M Meila","year":"2007","unstructured":"Meila M (2007) Comparing clusterings\u2014an information based distance. J Multivar Anal 98(5):873\u2013895","journal-title":"J Multivar Anal"},{"issue":"8","key":"3244_CR65","doi-asserted-by":"publisher","first-page":"2683","DOI":"10.1016\/j.asoc.2012.03.060","volume":"12","author":"NS Mishra","year":"2012","unstructured":"Mishra NS, Ghosh S, Ghosh A (2012) Fuzzy clustering algorithms incorporating local information for change detection in remotely sensed images. Appl Soft Comput 12(8):2683\u20132692","journal-title":"Appl Soft Comput"},{"issue":"6","key":"3244_CR66","doi-asserted-by":"publisher","first-page":"1591","DOI":"10.1109\/TMM.2012.2198802","volume":"14","author":"A Mosleh","year":"2012","unstructured":"Mosleh A, Bouguila N, Hamza AB (2012) Video completion using bandlet transform. IEEE Trans Multimed 14(6):1591\u20131601","journal-title":"IEEE Trans Multimed"},{"issue":"3","key":"3244_CR67","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1214\/aos\/1056562461","volume":"31","author":"RM Neal","year":"2003","unstructured":"Neal RM (2003) Slice sampling. Ann Stat 31(3):705\u2013767","journal-title":"Ann Stat"},{"key":"3244_CR68","doi-asserted-by":"crossref","unstructured":"Pandey M, Lazebnik S (2011) Scene recognition and weakly supervised object localization with deformable part-based models. In: Proceedings of the IEEE international conference on computer vision (ICCV), pp 1307\u20131314","DOI":"10.1109\/ICCV.2011.6126383"},{"issue":"3","key":"3244_CR69","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1109\/TKDE.2003.1198395","volume":"15","author":"C Pizzuti","year":"2003","unstructured":"Pizzuti C, Talia D (2003) P-autoclass: scalable parallel clustering for mining large data sets. IEEE Trans Knowl Data Eng 15(3):629\u2013641","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"3244_CR70","doi-asserted-by":"crossref","unstructured":"Quack T, M\u00f6nich U, Thiele L, Manjunath BS (2004) Cortina: a system for large-scale, content-based web image retrieval. In: Proceedings of the 12th ACM international conference on multimedia (MM). ACM, pp 508\u2013511","DOI":"10.1145\/1027527.1027650"},{"issue":"9","key":"3244_CR71","doi-asserted-by":"publisher","first-page":"1575","DOI":"10.1109\/TPAMI.2007.1155","volume":"29","author":"P Quelhas","year":"2007","unstructured":"Quelhas P, Monay F, Odobez JM, Gatica-Perez D, Tuytelaars T (2007) A thousand words in a scene. IEEE Trans Pattern Anal Mach Intell 29(9):1575\u20131589","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3244_CR72","doi-asserted-by":"crossref","unstructured":"Rao C, Shah M (2001) View-invariance in action recognition. In: Proc. of the IEEE computer society conference on computer vision and pattern recognition (CVPR), vol 2. IEEE Computer Society, pp 316\u2013322","DOI":"10.1109\/CVPR.2001.990977"},{"issue":"5","key":"3244_CR73","doi-asserted-by":"publisher","first-page":"1542","DOI":"10.1016\/j.asoc.2011.12.015","volume":"12","author":"Y Ren","year":"2012","unstructured":"Ren Y, Liu X, Liu W (2012) Dbcamm: a novel density based clustering algorithm via using the mahalanobis metric. Appl Soft Comput 12(5):1542\u20131554","journal-title":"Appl Soft Comput"},{"issue":"4","key":"3244_CR74","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1111\/1467-9868.00095","volume":"59","author":"S Richardson","year":"1997","unstructured":"Richardson S, Green PJ (1997) On bayesian analysis of mixtures with an unknown number of components. J R Stat Soc Ser B 59(4):731\u2013792 (with discussion)","journal-title":"J R Stat Soc Ser B"},{"key":"3244_CR75","doi-asserted-by":"crossref","unstructured":"Rodriguez M, Ahmed J, Shah M (2008) Action mach a spatio-temporal maximum average correlation height filter for action recognition. In: Proceedings of IEEE conference on computer vision and pattern recognition (CVPR), pp 1\u20138","DOI":"10.1109\/CVPR.2008.4587727"},{"issue":"3\u20134","key":"3244_CR76","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1007\/s00180-006-0018-8","volume":"21","author":"M Rufo","year":"2006","unstructured":"Rufo M, Martn J, Prez C (2006) Bayesian analysis of finite mixture models of distributions from exponential families. Comput Stat 21(3\u20134):621\u2013637","journal-title":"Comput Stat"},{"key":"3244_CR77","doi-asserted-by":"crossref","unstructured":"Ruta A, Porikli F (2012) Compressive clustering of high-dimensional data. In: Proceedings of the 11th international conference on machine learning and applications, (ICMLA), pp 380\u2013385","DOI":"10.1109\/ICMLA.2012.69"},{"issue":"1","key":"3244_CR78","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1023\/A:1008120406972","volume":"36","author":"B Schiele","year":"2000","unstructured":"Schiele B, Crowley JL (2000) Recognition without correspondence using multidimensional receptive field histograms. Int J Comput Vis 36(1):31\u201350","journal-title":"Int J Comput Vis"},{"key":"3244_CR79","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G Schwarz","year":"1978","unstructured":"Schwarz G (1978) Estimating the dimension of a model. Ann Stat 6:461\u2013464","journal-title":"Ann Stat"},{"issue":"15","key":"3244_CR80","doi-asserted-by":"publisher","first-page":"1758","DOI":"10.1016\/j.patrec.2006.02.005","volume":"27","author":"L Shen","year":"2006","unstructured":"Shen L, Bai L (2006) Mutualboost learning for selecting gabor features for face recognition. Pattern Recognit Lett 27(15):1758\u20131767","journal-title":"Pattern Recognit Lett"},{"issue":"1","key":"3244_CR81","first-page":"7","volume":"13","author":"M Tan","year":"1993","unstructured":"Tan M (1993) Cost-sensitive learning of classification knowledge and its applications in robotics. Mach Learn 13(1):7\u201333","journal-title":"Mach Learn"},{"issue":"5","key":"3244_CR82","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1109\/34.1000239","volume":"24","author":"Z Tu","year":"2002","unstructured":"Tu Z, Zhu SC (2002) Image segmentation by data-driven markov chain monte carlo. IEEE Trans Pattern Anal Mach Intell 24(5):657\u2013673","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"3244_CR83","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1109\/3468.769758","volume":"29","author":"N Vlassis","year":"1999","unstructured":"Vlassis N, Likas A (1999) A kurtosis-based dynamic approach to gaussian mixture modeling. IEEE Trans Syst Man Cybern Part A Syst Hum 29(4):393\u2013399","journal-title":"IEEE Trans Syst Man Cybern Part A Syst Hum"},{"issue":"1","key":"3244_CR84","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1023\/A:1018624029058","volume":"9","author":"N Vlassis","year":"1999","unstructured":"Vlassis N, Papakonstantinou G, Tsanakas P (1999) Mixture density estimation based on maximum likelihood and sequential test statistics. Neural Process Lett 9(1):63\u201376","journal-title":"Neural Process Lett"},{"key":"3244_CR85","doi-asserted-by":"crossref","unstructured":"Wang W, Farid H (2007a) Exposing digital forgeries in interlaced and deinterlaced video. IEEE Trans Inf Forensics Secur 2(3):438\u2013449","DOI":"10.1109\/TIFS.2007.902661"},{"key":"3244_CR86","doi-asserted-by":"crossref","unstructured":"Wang W, Farid H (2007b) Exposing digital forgeries in video by detecting duplication. In: Proceedings of the 9th workshop on multimedia and security. ACM, New York, NY, USA, pp 35\u201342","DOI":"10.1145\/1288869.1288876"},{"issue":"10","key":"3244_CR87","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.1109\/TPAMI.2004.76","volume":"26","author":"Y Wang","year":"2004","unstructured":"Wang Y, Zhu SC (2004) Analysis and synthesis of textured motion: particles and waves. IEEE Trans Pattern Anal Mach Intell 26(10):1348\u20131363","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"3244_CR88","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/s40745-015-0040-1","volume":"2","author":"D Xu","year":"2015","unstructured":"Xu D, Tian Y (2015) A comprehensive survey of clustering algorithms. Ann Data Sci 2(2):165\u2013193","journal-title":"Ann Data Sci"},{"key":"3244_CR89","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.knosys.2013.07.020","volume":"53","author":"D Xu","year":"2013","unstructured":"Xu D, Xu Z, Liu S, Zhao H (2013) A spectral clustering algorithm based on intuitionistic fuzzy information. Knowl Based Syst 53:20\u201326","journal-title":"Knowl Based Syst"},{"issue":"1","key":"3244_CR90","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1109\/T-C.1971.223083","volume":"C\u201320","author":"C Zahn","year":"1971","unstructured":"Zahn C (1971) Graph-theoretical methods for detecting and describing gestalt clusters. IEEE Trans Comput C\u201320(1):68\u201386","journal-title":"IEEE Trans Comput"},{"key":"3244_CR91","doi-asserted-by":"crossref","unstructured":"Zelnik-Manor L, Irani M (2001) Event-based analysis of video. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR), vol 2, pp II\u2013123\u2013II\u2013130","DOI":"10.1109\/CVPR.2001.990935"},{"issue":"4","key":"3244_CR92","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1023\/B:STCO.0000039484.36470.41","volume":"14","author":"Z Zhang","year":"2004","unstructured":"Zhang Z, Chan KL, Wu Y, Chen C (2004) Learning a multivariate gaussian mixture model with the reversible jump MCMC algorithm. Stat Comput 14(4):343\u2013355","journal-title":"Stat Comput"},{"issue":"1","key":"3244_CR93","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1109\/TIP.2006.884956","volume":"16","author":"B Zhang","year":"2007","unstructured":"Zhang B, Shan S, Chen X, Gao W (2007) Histogram of gabor phase patterns (hgpp): a novel object representation approach for face recognition. IEEE Trans Image Process 16(1):57\u201368","journal-title":"IEEE Trans Image Process"},{"key":"3244_CR94","doi-asserted-by":"crossref","unstructured":"Zhang S, Wei Z, Nie J, Huang L, Wang S, Li Z (2017) A review on human activity recognition using vision-based method. J Healthc Eng (Article ID 3090343)","DOI":"10.1155\/2017\/3090343"},{"issue":"15","key":"3244_CR95","doi-asserted-by":"publisher","first-page":"2109","DOI":"10.1016\/j.patrec.2011.06.008","volume":"32","author":"P Zhao","year":"2011","unstructured":"Zhao P, Zhang CQ (2011) A new clustering method and its application in social networks. Pattern Recognit Lett 32(15):2109\u20132118","journal-title":"Pattern Recognit Lett"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-018-3244-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-018-3244-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-018-3244-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,10]],"date-time":"2019-10-10T14:35:56Z","timestamp":1570718156000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-018-3244-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,23]]},"references-count":95,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2019,7]]}},"alternative-id":["3244"],"URL":"https:\/\/doi.org\/10.1007\/s00500-018-3244-4","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"type":"print","value":"1432-7643"},{"type":"electronic","value":"1433-7479"}],"subject":[],"published":{"date-parts":[[2018,5,23]]},"assertion":[{"value":"23 May 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"All authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}