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Independent component analysis
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21	䉬 Human Brain Mapping 14:140 –) 䉬 Add to Reading List Source URL: mialab.mrn.org Language: English - Date: 2011-04-29 13:52:23 Neuroimaging Multivariate statistics Magnetic resonance imaging Cognitive neuroscience Time series analysis Independent component analysis Functional magnetic resonance imaging Principal component analysis Outline of brain mapping Electroencephalography Statistical parametric mapping Dynamic functional connectivity
22	Spatial & Temporal Independent Component Analysis of fMRI Data with Two Task-Related Waveforms James J. PEKAR1, Vince CALHOUN2, Tulay ADALI3, Godfrey D. PEARLSON2, 1F.M. Kirby Research Center, Kennedy Krieger Institute & Add to Reading List Source URL: mialab.mrn.org Language: English - Date: 2011-04-29 13:52:28 Neuroimaging Magnetic resonance imaging Cognitive neuroscience Functional magnetic resonance imaging Independent component analysis
23	Genome Informatics 13: 61–Extraction of Organism Groups from Phylogenetic Profiles Using Independent Component Analysis Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-09 05:53:38 Multivariate statistics Phylogenetics Molecular biology Biological databases Genetics Independent component analysis KEGG Factor analysis Principal component analysis Homology Bioinformatics Organism
24	LOCOCODE versus PCA and ICA Sepp Hochreiter Technische Universitat MunchenMunchen, Germany Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:18:32 Multivariate statistics Artificial neural networks Signal processing Dimension reduction Computational neuroscience Principal component analysis Independent component analysis Sepp Hochreiter Autoencoder Backpropagation
25	NONLINEAR ICA THROUGH LOW-COMPLEXITY AUTOENCODERS Sepp Hochreiter J¨urgen Schmidhuber Fakult¨at f¨ur Informatik Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:21:57 Multivariate statistics Artificial neural networks Signal processing Dimension reduction Computational neuroscience Independent component analysis Factorial code Principal component analysis Machine learning Self-organizing map Sepp Hochreiter Deep learning
26	Feature extraction through LOCOCODE Neural Computation 11(3):679{714, 1999 Sepp Hochreiter Jurgen Schmidhuber Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:20:42 Artificial neural networks Multivariate statistics Signal processing Computational neuroscience Computational statistics Factorial code Sepp Hochreiter Autoencoder Backpropagation Principal component analysis Independent component analysis
27	Investigation of Marinol (THC) Effects upon fMRI Activation During Active and Passive Driving Using Independent Component Analysis and SPM V Calhoun , V McGinty , J Pekar , T Watson , G Pearlson Division of Psychiatry Ne Add to Reading List Source URL: mialab.mrn.org Language: English - Date: 2011-04-29 13:52:59 Cerebrum Neuroanatomy Magnetic resonance imaging Cognitive neuroscience Functional magnetic resonance imaging Neuroimaging Orbitofrontal cortex Tetrahydrocannabinol Anterior cingulate cortex
28	Magnetic Resonance in Medicine 48:180 –Independent Component Analysis of fMRI Data in the Complex Domain V.D. Calhoun,1,4* T. Adalı,4 G.D. Pearlson,1 P.C.M. van Zijl,2,3 and J.J. Pekar2,3* In BOLD fMRI a s Add to Reading List Source URL: mialab.mrn.org Language: English - Date: 2011-04-29 13:52:47 Neuroimaging Multivariate statistics Magnetic resonance imaging Cognitive neuroscience Neurotechnology Functional magnetic resonance imaging Independent component analysis Voxel Electroencephalography Principal component analysis Euclidean vector Complex number
29	MONAURAL SEPARATION AND CLASSIFICATION OF NON-LINEAR TRANSFORMED INDEPENDENT SIGNALS: AN SVM PERSPECTIVE Sepp Hochreiter and Michael C. Mozer Department of Computer Science University of Colorado Boulder, CO 80309 Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:26:38 Signal processing Statistical models Convex optimization Operations research Independent component analysis Wavelet Linear programming Support vector machine Matrix Machine learning Sparse approximation Sparse dictionary learning
30	Learning Generative Models via Discriminative Approaches Zhuowen Tu Lab of Neuro Imaging, UCLA Abstract Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2007-04-25 17:54:00 Machine learning Statistical models Discriminative model Generative model Independent component analysis Image segmentation Gibbs sampling Linear classifier