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Independent component analysis
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#	Item
71	Blind Source Separation: the Sparsity Revolution Bobin J. a Starck J.-L. a Moudden Y. a Fadili M.J. b a Laboratoire Add to Reading List Source URL: jstarck.free.fr Language: English - Date: 2008-01-31 05:46:58 Time series analysis Data analysis Statistical models Independent component analysis Blind signal separation FastICA Sparse matrix Overcompleteness Matrix Statistics Multivariate statistics Signal processing
72	Towards an Agent–Based Independent Component Analysis Roman V. Belavkin ([removed]) School of Computing Science, Add to Reading List Source URL: www.eis.mdx.ac.uk Language: English - Date: 2006-01-31 05:13:16 Algebra Dimensional analysis Measurement Rotation Matrices Rotational symmetry Mathematical analysis Mathematics
73	2011 First IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology Mining electronic medical records to explore the linkage between healthcare resource utilization and disease severity in di Add to Reading List Source URL: www.research.ibm.com Language: English - Date: 2012-08-13 11:38:18 International standards Linear algebra Matrix theory Non-negative matrix factorization Electronic health record Online NMF Independent component analysis Data mining Statistics Multivariate statistics Data analysis
74	Dual Graph Regularized NMF for Hyperspectral Unmixing Lei Tong1 Jun Zhou2 Xiao Bai3 Add to Reading List Source URL: www.ict.griffith.edu.au Language: English - Date: 2014-09-14 19:32:07 Mathematics Spectroscopy Remote sensing Infrared imaging Linear algebra Non-negative matrix factorization Hyperspectral imaging Independent component analysis EnMAP Statistics Algebra Multivariate statistics
75	1 Hyperspectral Unmixing Via L1/2 Sparsity-constrained Nonnegative Matrix Factorization Yuntao Qian, Member, IEEE, Sen Jia, Jun Zhou, Member, IEEE and Antonio Robles-Kelly, Senior Add to Reading List Source URL: www.ict.griffith.edu.au Language: English - Date: 2011-04-13 02:21:52 Multivariate statistics Matrix theory Numerical linear algebra Signal processing Non-negative matrix factorization Compressed sensing Independent component analysis Sparse matrix Hyperspectral imaging Algebra Mathematics Linear algebra
76	Provable Learning of Overcomplete Latent Variable Models: Semi-supervised and Unsupervised Settings Animashree Anandkumar University of California Irvine, CA Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:27:52 Mathematics Linear algebra Tensors Statistical models Independent component analysis Signal processing Unsupervised learning Mixture model Singular value decomposition Algebra Machine learning Statistics
77	Redundancy Reduction for Computational Audition, a Unifying Approach Paris Smaragdis Bachelor of Music (magna cum laude) Berklee College of Music,1995 Masters of Science in Media Technology Add to Reading List Source URL: web.media.mit.edu Language: English - Date: 2005-01-24 19:20:17 Hearing Science Artificial intelligence Auditory scene analysis Sound Perception Machine listening Psychoacoustics Independent component analysis Waves Statistics Auditory perception
78	Emergence of multilingual representations by independent component analysis using parallel corpora Tiina Lindh-Knuutila† Jaakko J. V¨ayrynen? † Add to Reading List Source URL: www.stes.fi Language: English - Date: 2006-10-19 04:44:00 Computational linguistics Natural language processing Data analysis Multivariate statistics Corpus linguistics Text corpus Statistical machine translation Finnish language Machine translation Linguistics Science Statistics
79	THIS IS VERY CLOSE THE OFFICIAL VERSION, PUBLISHED AS: PROCEEDINGS OF THE IEEE, VOL. 9, NO 10, PP[removed], OCT[removed]Blind signal separation: statistical principles Jean-Francois Cardoso, C.N.R.S. and E.N.S.T. c Add to Reading List Source URL: dsp-book.narod.ru Language: English - Date: 2013-05-06 00:55:50 Normal distribution Independent component analysis Maximum likelihood Covariance Probability density function Kurtosis Matrix Probability distribution Derivative Statistics Data analysis Statistical models
80	Style Components Yong Cao† Ari Shapiro∗ Petros Faloutsos‡ Add to Reading List Source URL: www.magix.ucla.edu Language: English - Date: 2006-03-07 19:17:00 Computer animation Signal processing Motion capture Independent component analysis Principal component analysis Motion Computer graphics Kinematics Statistics Data analysis Multivariate statistics

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