{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T05:17:42Z","timestamp":1740287862464,"version":"3.37.3"},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540269236"},{"type":"electronic","value":"9783540318910"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11510888_4","type":"book-chapter","created":{"date-parts":[[2010,7,18]],"date-time":"2010-07-18T17:37:46Z","timestamp":1279474666000},"page":"31-41","source":"Crossref","is-referenced-by-count":7,"title":["Finite Mixture Models with Negative Components"],"prefix":"10.1007","author":[{"given":"Baibo","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Changshui","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"4_CR1","doi-asserted-by":"publisher","DOI":"10.1002\/0471721182","volume-title":"Finite Mixture Models","author":"G. McLachlan","year":"2000","unstructured":"McLachlan, G., Peel, D.: Finite Mixture Models. John Wiley & Sons, New York (2000)"},{"key":"4_CR2","volume-title":"Algorithm for Clustering Data","author":"A.K. Jain","year":"1988","unstructured":"Jain, A.K., Dubes, R.: Algorithm for Clustering Data. Prentice Hall, Englewood Cliffs (1988)"},{"key":"4_CR3","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1109\/72.554192","volume":"8","author":"G. Hinton","year":"1997","unstructured":"Hinton, G., Dayan, P., Revow, M.: Modeling the manifolds of images of handwritten digits. IEEE Trans. on Neural Networks\u00a08, 65\u201374 (1997)","journal-title":"IEEE Trans. on Neural Networks"},{"key":"4_CR4","doi-asserted-by":"publisher","first-page":"294","DOI":"10.2307\/2669625","volume":"93","author":"A. Dasgupta","year":"1998","unstructured":"Dasgupta, A., Raftery, A.E.: Detecting features in spatial point processes with clutter via model-based clustering. Journal of the American Statistical Association\u00a093, 294\u2013302 (1998)","journal-title":"Journal of the American Statistical Association"},{"key":"4_CR5","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1093\/comjnl\/41.8.578","volume":"41","author":"C. Fraley","year":"1998","unstructured":"Fraley, C., Raftery, A.E.: How many clusters? which clustering method? \u2013 answers via model-based cluster analysis. The Computer Journal\u00a041, 578\u2013588 (1998)","journal-title":"The Computer Journal"},{"key":"4_CR6","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/S0031-3203(03)00140-7","volume":"37","author":"B. Zhang","year":"2004","unstructured":"Zhang, B., Zhang, C., Yi, X.: Competitive EM algorithm for finite mixture models. Pattern Recognition\u00a037, 131\u2013144 (2004)","journal-title":"Pattern Recognition"},{"key":"4_CR7","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1109\/34.990138","volume":"24","author":"M.A. Figueiredo","year":"2002","unstructured":"Figueiredo, M.A., Jain, A.K.: Unsupervised learning of finite mixture models. IEEE Trans. on PAMI\u00a024, 381\u2013396 (2002)","journal-title":"IEEE Trans. on PAMI"},{"key":"4_CR8","unstructured":"Bilmes, J.A.: A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden markov models. Technical Report ICSI TR-97-021, UC Berkeley (1997)"},{"key":"4_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A.P. Dempster","year":"1977","unstructured":"Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum-likelihood from incomplete data via the EM algorithm. Journal of Royal Statistic, Society B\u00a039, 1\u201338 (1977)","journal-title":"Journal of Royal Statistic, Society B"},{"key":"4_CR10","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TPAMI.1984.4767596","volume":"6","author":"S. Geman","year":"1984","unstructured":"Geman, S., Geman, D.: Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images. IEEE Transactions on PAMI\u00a06, 721\u2013741 (1984)","journal-title":"IEEE Transactions on PAMI"},{"key":"4_CR11","unstructured":"Vincent, P., Bengio, Y.: Manifold Parzen windows. In: NIPS (2002)"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Data Mining in Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11510888_4.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T02:32:32Z","timestamp":1740277952000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11510888_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540269236","9783540318910"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/11510888_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}