{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:07:24Z","timestamp":1743120444381,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642285509"},{"type":"electronic","value":"9783642285516"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-28551-6_15","type":"book-chapter","created":{"date-parts":[[2012,2,8]],"date-time":"2012-02-08T22:52:46Z","timestamp":1328741566000},"page":"115-122","source":"Crossref","is-referenced-by-count":1,"title":["Contrast Functions for Independent Subspace Analysis"],"prefix":"10.1007","author":[{"given":"Jason A.","family":"Palmer","sequence":"first","affiliation":[]},{"given":"Scott","family":"Makeig","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"7","key":"15_CR1","doi-asserted-by":"publisher","first-page":"1935","DOI":"10.1109\/TIT.2002.1013134","volume":"48","author":"D.T. Pham","year":"2002","unstructured":"Pham, D.T.: Mutual information approach to blind separation of stationary sources. IEEE Trans. Information Theory\u00a048(7), 1935\u20131946 (2002)","journal-title":"IEEE Trans. Information Theory"},{"issue":"4","key":"15_CR2","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1109\/97.566704","volume":"4","author":"J.-F. Cardoso","year":"1997","unstructured":"Cardoso, J.-F.: Infomax and maximum likelihood for source separation. IEEE Letters on Signal Processing\u00a04(4), 112\u2013114 (1997)","journal-title":"IEEE Letters on Signal Processing"},{"key":"15_CR3","doi-asserted-by":"crossref","unstructured":"Cardoso, J.-F.: Multidimensional independent component analysis. In: Proceedings of the IEEE International Conference on Acoustics and Signal Processing (ICASSP 1998), Seattle, WA, pp. 1941\u20131944 (1998)","DOI":"10.1109\/ICASSP.1998.681443"},{"key":"15_CR4","doi-asserted-by":"publisher","first-page":"1705","DOI":"10.1162\/089976600300015312","volume":"12","author":"A. Hyv\u00e4rinen","year":"2000","unstructured":"Hyv\u00e4rinen, A., Hoyer, P.O.: Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces. Neural Computation\u00a012, 1705\u20131720 (2000)","journal-title":"Neural Computation"},{"key":"15_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/11679363_21","volume-title":"Independent Component Analysis and Blind Signal Separation","author":"T. Kim","year":"2006","unstructured":"Kim, T., Eltoft, T., Lee, T.-W.: Independent Vector Analysis: An Extension of ICA to Multivariate Components. In: Rosca, J., Erdogmus, D., Pr\u00edncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, vol.\u00a03889, pp. 165\u2013172. Springer, Heidelberg (2006)"},{"issue":"3","key":"15_CR6","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/0165-1684(94)90029-9","volume":"36","author":"P. Comon","year":"1994","unstructured":"Comon, P.: Independent component analysis: a new concept? Signal Processing\u00a036(3), 287\u2013314 (1994)","journal-title":"Signal Processing"},{"issue":"2","key":"15_CR7","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1214\/aos\/1176349519","volume":"13","author":"P.J. Huber","year":"1985","unstructured":"Huber, P.J.: Projection pursuit. The Annals of Statistics\u00a013(2), 435\u2013475 (1985)","journal-title":"The Annals of Statistics"},{"key":"15_CR8","unstructured":"Pham, D.T.: Contrast functions for blind separation and deconvolution of sources. Tech. Rep., Laboratoire de Mod\u2019elisation et Calcul, CNRS, IMAG (2001)"},{"key":"15_CR9","doi-asserted-by":"crossref","unstructured":"Theis, F.J.: Blind signal separation into groups of dependent signals using joint block diagonalization. In: ISCAS (6), pp. 5878\u20135881 (2005)","DOI":"10.1109\/ISCAS.2005.1465976"},{"key":"15_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1007\/11679363_114","volume-title":"Independent Component Analysis and Blind Signal Separation","author":"F.J. Theis","year":"2006","unstructured":"Theis, F.J., Kawanabe, M.: Uniqueness of Non-Gaussian Subspace Analysis. In: Rosca, J.P., Erdogmus, D., Pr\u00edncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, vol.\u00a03889, pp. 917\u2013925. Springer, Heidelberg (2006)"},{"issue":"7","key":"15_CR11","doi-asserted-by":"publisher","first-page":"1463","DOI":"10.1109\/TCSI.2010.2052485","volume":"57-I","author":"F.J. Theis","year":"2010","unstructured":"Theis, F.J.: Colored subspace analysis: Dimension reduction based on a signal\u2019s autocorrelation structure. IEEE Trans. on Circuits and Systems\u00a057-I(7), 1463\u20131474 (2010)","journal-title":"IEEE Trans. on Circuits and Systems"},{"key":"15_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/978-3-540-74494-8_7","volume-title":"Independent Component Analysis and Signal Separation","author":"H.W. Gutch","year":"2007","unstructured":"Gutch, H.W., Theis, F.J.: Independent Subspace Analysis is Unique, Given Irreducibility. In: Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds.) ICA 2007. LNCS, vol.\u00a04666, pp. 49\u201356. Springer, Heidelberg (2007)"},{"key":"15_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1007\/978-3-540-74494-8_2","volume-title":"Independent Component Analysis and Signal Separation","author":"M. Castella","year":"2007","unstructured":"Castella, M., Comon, P.: Blind Separation of Instantaneous Mixtures of Dependent Sources. In: Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds.) ICA 2007. LNCS, vol.\u00a04666, pp. 9\u201316. Springer, Heidelberg (2007)"},{"key":"15_CR14","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-540-74958-5_75","volume-title":"Machine Learning: ECML 2007","author":"Z. Szab\u00f3","year":"2007","unstructured":"Szab\u00f3, Z., P\u00f3czos, B., L\u0151rincz, A.: Undercomplete Blind Subspace Deconvolution via Linear Prediction. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladeni\u010d, D., Skowron, A. (eds.) ECML 2007. LNCS (LNAI), vol.\u00a04701, pp. 740\u2013747. Springer, Heidelberg (2007)"},{"issue":"6","key":"15_CR15","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1109\/18.104312","volume":"37","author":"A. Dembo","year":"1991","unstructured":"Dembo, A., Cover, T.M., Thomas, J.A.: Information theoretic inequalities. IEEE Transactions on Information Theory\u00a037(6), 1501\u20131518 (1991)","journal-title":"IEEE Transactions on Information Theory"},{"key":"15_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/978-3-642-15995-4_38","volume-title":"Latent Variable Analysis and Signal Separation","author":"J.A. Palmer","year":"2010","unstructured":"Palmer, J.A., Kreutz-Delgado, K., Makeig, S.: Strong Sub- and Super-Gaussianity. In: Vigneron, V., Zarzoso, V., Moreau, E., Gribonval, R., Vincent, E. (eds.) LVA\/ICA 2010. LNCS, vol.\u00a06365, pp. 303\u2013310. Springer, Heidelberg (2010)"},{"key":"15_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/978-3-540-74494-8_13","volume-title":"Independent Component Analysis and Signal Separation","author":"J.A. Palmer","year":"2007","unstructured":"Palmer, J.A., Kreutz-Delgado, K., Rao, B.D., Makeig, S.: Modeling and Estimation of Dependent Subspaces with Non-Radially Symmetric and Skewed Densities. In: Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds.) ICA 2007. LNCS, vol.\u00a04666, pp. 97\u2013104. Springer, Heidelberg (2007)"}],"container-title":["Lecture Notes in Computer Science","Latent Variable Analysis and Signal Separation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-28551-6_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,20]],"date-time":"2025-03-20T03:15:19Z","timestamp":1742440519000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-28551-6_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642285509","9783642285516"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-28551-6_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}