4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), April 2003, Nara, Japan ICA OF FUNCTIONAL MRI DATA: AN OVERVIEW V. D. Calhoun§∇º, T. Adali*, L. K. Hansen1, J. Lar

Source URL: mialab.mrn.org

Noname manuscript No. (will be inserted by the editor) Rigid Structure from Motion from a Blind Source Separation Perspective Jeff Fortuna · Aleix M. Martinez

Source URL: www2.ece.ohio-state.edu

• Statistics
• Mathematics
• Probability
• Multivariate statistics
• Stochastic processes
• Signal processing
• Statistical models
• Feature detection
• KarhunenLove theorem
• Structure from motion
• Differential geometry of surfaces
• Multivariate random variable

Genome Informatics 12: 255–Blind Gene Classification – An Application of a Signal Separation Method

Source URL: www.jsbi.org

• Molecular biology
• Biology
• Statistics
• Independent component analysis
• Gene expression
• Gene
• Analysis

GENRE SPECIFIC DICTIONARIES FOR HARMONIC/PERCUSSIVE SOURCE SEPARATION Cl´ement Laroche1,2 H´el`ene Papadopoulos2

Source URL: wp.nyu.edu

• Multivariate statistics
• Linear algebra
• Matrix theory
• Numerical linear algebra
• Non-negative matrix factorization
• Music information retrieval
• International Society for Music Information Retrieval
• Blind signal separation
• Dictionary
• Principal component analysis
• Singular value decomposition
• Factorization

GENERALIZED SPARSE SIGNAL MIXING MODEL AND APPLICATION TO NOISY BLIND SOURCE SEPARATION Justinian Rosca, Christian Borss, Radu Balan Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540 {justinian.rosca

Source URL: www.math.umd.edu

4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), April 2003, Nara, Japan A LINEAR LEAST-SQUARES ALGORITHM FOR JOINT DIAGONALIZATION Andreas Ziehe† , Pavel Laskov†,

Source URL: www-rsec.cs.uni-tuebingen.de

Applying Blind Source Separation and Deconvolution to Real-World Acoustic Environments Alex Westner and V. Michael Bove, Jr. MIT Media Lab 20 Ames Street

Source URL: excedrin.media.mit.edu

• Electronics
• Electrical engineering
• Sound recording
• Image processing
• Deconvolution
• Reverberation
• Shure
• Blind deconvolution
• Sound recording and reproduction
• Signal processing
• Microphones
• Acoustics

TARGET SPEECH EXTRACTION IN COCKTAIL PARTY BY COMBINING BEAMFORMING AND BLIND SOURCE SEPARATION Lin Wang1,2 , Heping Ding2 and Fuliang Yin1 1

Source URL: www.acoustics.asn.au

• Applied mathematics
• Beamforming
• Microphone array
• Microphone
• Blind signal separation
• Independent component analysis
• Sound localization
• Window function
• Time–frequency analysis
• Signal processing
• Statistics
• Telecommunications engineering

Blind Source Separation: the Sparsity Revolution Bobin J. a Starck J.-L. a Moudden Y. a Fadili M.J. b a Laboratoire

Source URL: jstarck.free.fr

• Time series analysis
• Data analysis
• Statistical models
• Independent component analysis
• Blind signal separation
• FastICA
• Sparse matrix
• Overcompleteness
• Matrix
• Statistics
• Multivariate statistics
• Signal processing

4 Social Interaction 4-1 Basic Study for Cognition and Manipulation of the Body Image MAEKAWA Satoshi In recent years, it becomes clear that the body image is not inherent, but have plasticity. This fact suggests that th

Source URL: www.nict.go.jp

• Applied mathematics
• Electromyography
• Overcompleteness
• Blind deconvolution
• Deconvolution
• Blind signal separation
• Neuron
• Posture
• Signal processing
• Medicine
• Mathematics