{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T05:36:06Z","timestamp":1782797766921,"version":"3.54.5"},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540326304","type":"print"},{"value":"9783540326311","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11679363_106","type":"book-chapter","created":{"date-parts":[[2006,2,23]],"date-time":"2006-02-23T13:35:52Z","timestamp":1140701752000},"page":"854-861","source":"Crossref","is-referenced-by-count":61,"title":["Super-Gaussian Mixture Source Model for ICA"],"prefix":"10.1007","author":[{"given":"Jason A.","family":"Palmer","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenneth","family":"Kreutz-Delgado","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Scott","family":"Makeig","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"issue":"2","key":"106_CR1","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1162\/089976698300017746","volume":"10","author":"S.-I. Amari","year":"1998","unstructured":"Amari, S.-I.: Natural gradient works efficiently in learning. Neural Computation\u00a010(2), 251\u2013276 (1998)","journal-title":"Neural Computation"},{"key":"106_CR2","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1162\/089976699300016458","volume":"11","author":"H. Attias","year":"1999","unstructured":"Attias, H.: Independent factor analysis. Neural Computation\u00a011, 803\u2013851 (1999)","journal-title":"Neural Computation"},{"key":"106_CR3","volume-title":"Advances in Neural Information Processing Systems 12","author":"H. Attias","year":"2000","unstructured":"Attias, H.: A variational Bayesian framework for graphical models. In: Advances in Neural Information Processing Systems 12. MIT Press, Cambridge (2000)"},{"issue":"3","key":"106_CR4","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1109\/TAC.1980.1102343","volume":"25","author":"A. Benveniste","year":"1980","unstructured":"Benveniste, A., Goursat, M., Ruget, G.: Robust identification of a nonminimum phase system. IEEE Transactions on Automatic Control\u00a025(3), 385\u2013399 (1980)","journal-title":"IEEE Transactions on Automatic Control"},{"key":"106_CR5","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1162\/153244303768966120","volume":"3","author":"K. Chan","year":"2002","unstructured":"Chan, K., Lee, T.-W., Sejnowski, T.J.: Variational learning of clusters of undercomplete nonsymmetric independent components. Journal of Machine Learning Research\u00a03, 99\u2013114 (2002)","journal-title":"Journal of Machine Learning Research"},{"issue":"1","key":"106_CR6","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1162\/089976603321043766","volume":"15","author":"R.A. Choudrey","year":"2002","unstructured":"Choudrey, R.A., Roberts, S.J.: Variational mixture of Bayesian independent component analysers. Neural Computation\u00a015(1), 213\u2013252 (2002)","journal-title":"Neural Computation"},{"key":"106_CR7","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 the Royal Statistical Society, Series B\u00a039, 1\u201338 (1977)","journal-title":"Journal of the Royal Statistical Society, Series B"},{"key":"106_CR8","volume-title":"Advances in Neural Information Processing Systems 12","author":"Z. Ghahramani","year":"2000","unstructured":"Ghahramani, Z., Beal, M.J.: Variational inference for Bayesian mixtures of factor analysers. In: Advances in Neural Information Processing Systems 12. MIT Press, Cambridge (2000)"},{"key":"106_CR9","doi-asserted-by":"publisher","first-page":"2517","DOI":"10.1162\/089976601753196003","volume":"13","author":"M. Girolami","year":"2001","unstructured":"Girolami, M.: A variational method for learning sparse and overcomplete representations. Neural Computation\u00a013, 2517\u20132532 (2001)","journal-title":"Neural Computation"},{"key":"106_CR10","unstructured":"Jaakkola, T.S.: Variational Methods for Inference and Estimation in Graphical Models. PhD thesis, Massachusetts Institute of Technology (1997)"},{"key":"106_CR11","unstructured":"Jaakkola, T.S., Jordan, M.I.: A variational approach to Bayesian logistic regression models and their extensions. In: Proceedings of the 1997 Conference on Artificial Intelligence and Statistics (1997)"},{"issue":"10","key":"106_CR12","doi-asserted-by":"publisher","first-page":"1078","DOI":"10.1109\/34.879789","volume":"22","author":"T.-W. Lee","year":"2000","unstructured":"Lee, T.-W., Lewicki, M.S., Sejnowski, T.J.: ICA mixture models for unsupervised classification of non-gaussian classes and automatic context switching in blind signal separation. IEEE Trans. Pattern Analysis and Machine Intelligence\u00a022(10), 1078\u20131089 (2000)","journal-title":"IEEE Trans. Pattern Analysis and Machine Intelligence"},{"issue":"5","key":"106_CR13","doi-asserted-by":"publisher","first-page":"1035","DOI":"10.1162\/089976699300016331","volume":"11","author":"D.J.C. Mackay","year":"1999","unstructured":"Mackay, D.J.C.: Comparison of approximate methods for handling hyperparameters. Neural Computation\u00a011(5), 1035\u20131068 (1999)","journal-title":"Neural Computation"},{"key":"106_CR14","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1007\/978-94-011-5014-9_12","volume-title":"Learning in Graphical Models","author":"R.M. Neal","year":"1998","unstructured":"Neal, R.M., Hinton, G.E.: A view of the EM algorithm that justifies incremental, sparse, and other variants. In: Jordan, M.I. (ed.) Learning in Graphical Models, pp. 355\u2013368. Kluwer, Dordrecht (1998)"},{"key":"106_CR15","volume-title":"Advances in Neural Information Processing Systems","author":"J.A. Palmer","year":"2005","unstructured":"Palmer, J.A., Kreutz-Delgado, K., Wipf, D.P., Rao, B.D.: Variational EM algorithms for non-gaussian latent variable models. In: Advances in Neural Information Processing Systems. MIT Press, Cambridge (2005), Available at, http:\/\/dsp.ucsd.edu\/~japalmer\/"},{"key":"106_CR16","volume-title":"Advances in Neural Information Processing Systems 14","author":"H.-J. Park","year":"2004","unstructured":"Park, H.-J., Lee, T.-W.: Modeling nonlinear dependencies in natural images using mixture of Laplacian distribution. In: Saul, L.K., Weiss, Y., Bottou, L. (eds.) Advances in Neural Information Processing Systems 14. MIT Press, Cambridge (2004)"},{"key":"106_CR17","volume-title":"Advances in Neural Information Processing Systems","author":"B.A. Pearlmutter","year":"1996","unstructured":"Pearlmutter, B.A., Parra, L.C.: Maximum likelihood blind source separation: A contextsensitive generalization of ICA. In: Mozer, M., Jordan, M.I., Petsche, T. (eds.) Advances in Neural Information Processing Systems. MIT Press, Cambridge (1996)"},{"key":"106_CR18","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1613\/jair.251","volume":"4","author":"L.K. Saul","year":"1996","unstructured":"Saul, L.K., Jaakkola, T.S., Jordan, M.I.: Mean field theory for sigmoid belief networks. Journal of Artificial Intelligence Research\u00a04, 61\u201376 (1996)","journal-title":"Journal of Artificial Intelligence Research"},{"key":"106_CR19","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1162\/15324430152748236","volume":"1","author":"M.E. Tipping","year":"2001","unstructured":"Tipping, M.E.: Sparse Bayesian learning and the Relevance Vector Machine. Journal of Machine Learning Research\u00a01, 211\u2013244 (2001)","journal-title":"Journal of Machine Learning Research"}],"container-title":["Lecture Notes in Computer Science","Independent Component Analysis and Blind Signal Separation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11679363_106.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T21:18:31Z","timestamp":1736284711000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11679363_106"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540326304","9783540326311"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/11679363_106","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006]]}}}