{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T10:40:22Z","timestamp":1736592022649,"version":"3.32.0"},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540454625"},{"type":"electronic","value":"9783540454649"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11874850_19","type":"book-chapter","created":{"date-parts":[[2006,10,9]],"date-time":"2006-10-09T15:50:42Z","timestamp":1160409042000},"page":"149-158","source":"Crossref","is-referenced-by-count":5,"title":["Color Image Segmentation Through Unsupervised Gaussian Mixture Models"],"prefix":"10.1007","author":[{"given":"Antonio","family":"Pe\u00f1alver","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francisco","family":"Escolano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan M.","family":"S\u00e1ez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Arandjelovic, O., Cipolla, R.: Incremental learning of temporary-coherent Gaussian mixture models. In: British Machine Vision Conference. British Machine Vision Association, BMVA (2005)","DOI":"10.5244\/C.19.59"},{"issue":"1","key":"19_CR2","first-page":"17","volume":"6","author":"E. Beirlant","year":"1996","unstructured":"Beirlant, E., Dudewicz, E., Gyorfi, L., Van der Meulen, E.: Nonparametric entropy estimation. International Journal on Mathematical and Statistical Sciences\u00a06(1), 17\u201339 (1996)","journal-title":"International Journal on Mathematical and Statistical Sciences"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Clark, E., Quinn, A.: A data-driven bayesian sampling scheme for unsupervised image segmentation. In: Proceedings of ICASSP 1999 (1999)","DOI":"10.1109\/ICASSP.1999.757596"},{"key":"19_CR4","doi-asserted-by":"publisher","DOI":"10.1002\/0471200611","volume-title":"Elements of Information Theory","author":"T. Cover","year":"1991","unstructured":"Cover, T., Thomas, J.: Elements of Information Theory. J. Wiley and Sons, Chichester (1991)"},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"Dellaportas, P., Papageorgiou, I.: Multivariate mixtures of normals with unknown number of components. Statistics and Computing (to appear)","DOI":"10.1007\/s11222-006-5338-6"},{"issue":"1","key":"19_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"Dempster","year":"1977","unstructured":"Dempster, A., Laird, N., Rubin, D.: Maximum likelihood estimation from incomplete data via the em algorithm. Journal of The Royal Statistical Society B\u00a039(1), 1\u201338 (1977)","journal-title":"Journal of The Royal Statistical Society B"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Figueiredo, M.A.T., Jain, A.K.: Unsupervised selection and estimation of finite mixture models. In: Proceedings of the International Conference on Pattern Recognition, ICPR 2000, Barcelona (2000)","DOI":"10.1109\/ICPR.2000.906023"},{"key":"19_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1007\/3-540-48432-9_5","volume-title":"Energy Minimization Methods in Computer Vision and Pattern Recognition","author":"M.A.T. Figueiredo","year":"1999","unstructured":"Figueiredo, M.A.T., Leitao, J.M.N., Jain, A.K.: On fitting mixture models. In: Hancock, E.R., Pelillo, M. (eds.) EMMCVPR 1999. LNCS, vol.\u00a01654, pp. 54\u201369. Springer, Heidelberg (1999)"},{"issue":"2","key":"19_CR9","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1142\/S0218001401000903","volume":"15","author":"J. Hornegger","year":"2001","unstructured":"Hornegger, J., Niemann, H.: A novel probabilistic model for object recognition and pose estimation. Pattern Recognition Artif. Intell.\u00a015(2), 241\u2013253 (2001)","journal-title":"Pattern Recognition Artif. Intell."},{"key":"19_CR10","volume-title":"Markov random field modeling in computer vision","author":"S.Z. Li","year":"1995","unstructured":"Li, S.Z.: Markov random field modeling in computer vision. Springer, London (1995)"},{"issue":"3","key":"19_CR11","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1093\/biomet\/57.3.519","volume":"57","author":"K.V. Mardia","year":"1970","unstructured":"Mardia, K.V.: Measures of multivariate skewness and kurtosis with applications. Biometrika\u00a057(3), 519\u2013530 (1970)","journal-title":"Biometrika"},{"issue":"1","key":"19_CR12","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1214\/aoms\/1177704472","volume":"33","author":"E. Parzen","year":"1962","unstructured":"Parzen, E.: On estimation of a probability density function and mode. Annals of Mathematical Statistics\u00a033(1), 1065\u20131076 (1962)","journal-title":"Annals of Mathematical Statistics"},{"issue":"2","key":"19_CR13","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1137\/1026034","volume":"26","author":"R.A. Redner","year":"1984","unstructured":"Redner, R.A., Walker, H.F.: Mixture densities, maximum likelihood, and the em algorithm. SIAM Review\u00a026(2), 195\u2013239 (1984)","journal-title":"SIAM Review"},{"issue":"1","key":"19_CR14","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1111\/1467-9868.00095","volume":"59","author":"S. Richardson","year":"1997","unstructured":"Richardson, S., Green, P.J.: On bayesian analysis of mixtures with unknown number of components (with discussion). Journal of the Royal Statistical Society B\u00a059(1), 731\u2013792 (1997)","journal-title":"Journal of the Royal Statistical Society B"},{"key":"19_CR15","volume-title":"Stochastic complexity in statistical inquiry","author":"J. Rissanen","year":"1989","unstructured":"Rissanen, J.: Stochastic complexity in statistical inquiry. World Scientific, Singapore (1989)"},{"issue":"1","key":"19_CR16","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","volume":"27","author":"C. Shannon","year":"1948","unstructured":"Shannon, C.: A mathematical theory of comunication. The Bell System Technical Journal\u00a027(1), 379\u2013423 (1948)","journal-title":"The Bell System Technical Journal"},{"key":"19_CR17","unstructured":"Tu, Z., Zhu, S.C., Shum, H.Y.: Image segmentation by data driven markov chain montecarlo. In: Proceedings of ICCV 2001 (2001)"},{"issue":"1","key":"19_CR18","first-page":"657","volume":"24","author":"Z.W. Tu","year":"2002","unstructured":"Tu, Z.W., Zhu, S.C.: Image segmentation by datadriven markov chain monte carlo. IEEE Trans. Pattern Anal. Mach. Intell\u00a024(1), 657\u2013673 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell"},{"issue":"1","key":"19_CR19","doi-asserted-by":"publisher","first-page":"2109","DOI":"10.1162\/089976600300015088","volume":"12","author":"N. Ueda","year":"2000","unstructured":"Ueda, N., Nakano, R., Ghahramani, Z., Hinton, G.E.: Smem algorithm for mixture models. Neural Computation\u00a012(1), 2109\u20132128 (2000)","journal-title":"Neural Computation"},{"key":"19_CR20","unstructured":"Viola, P., Schraudolph, N.N., Sejnowski, T.J.: Empirical entropy manipulation for real-world problems. Adv. in Neural Infor. Proces. Systems\u00a08(1) (1996)"},{"key":"19_CR21","volume-title":"5th Intern. Conf. on Computer Vision","author":"P. Viola","year":"1995","unstructured":"Viola, P., Wells-III, W.M.: Alignment by maximization of mutual information. In: 5th Intern. Conf. on Computer Vision. IEEE, Los Alamitos (1995)"},{"issue":"4","key":"19_CR22","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1109\/3468.769758","volume":"29","author":"N. Vlassis","year":"1999","unstructured":"Vlassis, N., Likas, A.: A kurtosis-based dynamic approach to gaussian mixture modeling. IEEE Trans. Systems, Man, and Cybernetics\u00a029(4), 393\u2013399 (1999)","journal-title":"IEEE Trans. Systems, Man, and Cybernetics"},{"issue":"1","key":"19_CR23","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1023\/A:1013844811137","volume":"15","author":"N. Vlassis","year":"2002","unstructured":"Vlassis, N., Likas, A.: A greedy em algorithm for gaussian mixture learning. Neural Processing Letters\u00a015(1), 77\u201387 (2002)","journal-title":"Neural Processing Letters"},{"key":"19_CR24","unstructured":"Vlassis, N., Likas, A., Krose, B.: A multivariate kurtosis-based dynamic approach to gaussian mixture modeling. Inteligent Autonomous Systems Tech. Report (2000)"},{"issue":"1","key":"19_CR25","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, K.L., Wu, Y., Chen, C.: Learning a multivariate gaussian mixture models with the reversible jump mcmc algorithm. Statistics and Computing\u00a014(1), 343\u2013355 (2004)","journal-title":"Statistics and Computing"},{"issue":"1","key":"19_CR26","doi-asserted-by":"publisher","first-page":"1973","DOI":"10.1016\/S0031-3203(03)00059-1","volume":"36","author":"Z. Zhang","year":"2003","unstructured":"Zhang, Z., Chen, C., Sun, J., Chan, K.L.: Em algorithms for gaussian mixtures with split-and-merge operation. Pattern Recognition\u00a036(1), 1973\u20131983 (2003)","journal-title":"Pattern Recognition"},{"key":"19_CR27","volume-title":"CVPR","author":"S.C. Zhu","year":"2000","unstructured":"Zhu, S.C., Zhang, R., Tu, Z.: Integrating bottom-up for object recognition by data driven markov chain montecarlo. In: CVPR. IEEE, Los Alamitos (2000)"}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence - IBERAMIA-SBIA 2006"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11874850_19.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T09:32:00Z","timestamp":1736587920000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11874850_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540454625","9783540454649"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/11874850_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}