{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T16:16:28Z","timestamp":1725552988665},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540344391"},{"type":"electronic","value":"9783540344407"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11759966_163","type":"book-chapter","created":{"date-parts":[[2006,5,9]],"date-time":"2006-05-09T19:36:58Z","timestamp":1147203418000},"page":"1109-1114","source":"Crossref","is-referenced-by-count":3,"title":["An Extended Online Fast-ICA Algorithm"],"prefix":"10.1007","author":[{"given":"Gang","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ni-ni","family":"Rao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi-lin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quanyi","family":"Mo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"163_CR1","doi-asserted-by":"publisher","DOI":"10.1002\/0471221317","volume-title":"Independent Component Analysis","author":"A. Hy\u00e4vrinen","year":"2001","unstructured":"Hy\u00e4vrinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. Wiley, New York (2001)"},{"key":"163_CR2","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1016\/S0893-6080(00)00026-5","volume":"13","author":"A. Hy\u00e4vrinen","year":"2000","unstructured":"Hy\u00e4vrinen, A., Oja, E.: Independent Component Analysis: Algorithm and Applications. Neural Networks\u00a013, 411\u2013430 (2000)","journal-title":"Neural Networks"},{"issue":"3","key":"163_CR3","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1109\/72.761722","volume":"10","author":"A. Hy\u00e4vrinen","year":"1999","unstructured":"Hy\u00e4vrinen, A.: Fast and Robust Fixed-Point Algorithms for Independent Component Analysis. IEEE Trans. Neural Networks\u00a010(3), 626\u2013634 (1999)","journal-title":"IEEE Trans. Neural Networks"},{"key":"163_CR4","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/S0165-1684(97)00197-7","volume":"64","author":"A. Hy\u00e4vrinen","year":"1998","unstructured":"Hy\u00e4vrinen, A., Oja, E.: Independent Component Analysis by General Nonlinear Hebbian-Like Learning Rules. Signal Processing\u00a064, 301\u2013313 (1998)","journal-title":"Signal Processing"},{"issue":"3","key":"163_CR5","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1109\/72.572090","volume":"8","author":"J. Karhunen","year":"1997","unstructured":"Karhunen, J., Oja, E., Wang, L., Vigario, R., Joutsensalo, J.: A Class of Neural Networks for Independent Component Analysis. IEEE Trans. Neural Networks\u00a08(3), 486\u2013504 (1997)","journal-title":"IEEE Trans. Neural Networks"},{"issue":"8","key":"163_CR6","doi-asserted-by":"publisher","first-page":"1875","DOI":"10.1162\/089976699300015990","volume":"11","author":"S. Amari","year":"1999","unstructured":"Amari, S.: Natural Gradient for Over- and Under-Complete Bases in ICA. Neural Computation\u00a011(8), 1875\u20131883 (1999)","journal-title":"Neural Computation"},{"key":"163_CR7","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1023\/A:1008135131269","volume":"26","author":"S. Choi","year":"2000","unstructured":"Choi, S., Cichocki, A., Amari, S.: Flexible Independent Component Analysis. Journal of VLSI Signal Processing\u00a026, 25\u201338 (2000)","journal-title":"Journal of VLSI Signal Processing"},{"issue":"2","key":"163_CR8","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1109\/TNN.2004.824420","volume":"15","author":"L.Q. Zhang","year":"2004","unstructured":"Zhang, L.Q., Cichocki, A., Amari, S.: Self-Adaptive Blind Source Separation Based on Activation Function Adaptation. IEEE Trans. Neural Networks\u00a015(2), 233\u2013244 (2004)","journal-title":"IEEE Trans. Neural Networks"},{"key":"163_CR9","first-page":"3107","volume":"12","author":"J.F. Cardoso","year":"1996","unstructured":"Cardoso, J.F.: Equivariant Adaptive Source Separation. IEEE Trans. Signal Processing\u00a012, 3107\u20133030 (1996)","journal-title":"IEEE Trans. Signal Processing"},{"key":"163_CR10","volume-title":"On Minimum, Entropy Deconvolution","author":"D. Donoho","year":"1981","unstructured":"Donoho, D.: On Minimum, Entropy Deconvolution. Academic Press, New York (1981)"},{"key":"163_CR11","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1360\/02yf0242","volume":"47","author":"X.L. Zhu","year":"2004","unstructured":"Zhu, X.L., Zhang, X.D., Ye, J.M.: Natural Gradient-Based Recursive Least-Squares Algorithm for Blind Source Separation. Science in China Ser. F\u00a047, 55\u201365 (2004)","journal-title":"Science in China Ser. F"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks - ISNN 2006"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11759966_163.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T03:05:11Z","timestamp":1619492711000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11759966_163"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540344391","9783540344407"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/11759966_163","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}