Keyword

contrast function

Description: A contrast function is a mathematical objective that measures distinctions among statistical models or signals, including in blind source separation.

Primary topic: Blind Source Separation Techniques (52%)

OpenAlex ID: keywords/contrast-function

Fast and robust fixed-point algorithms for independent component analysis

1999 · A. Hyvarinen · IEEE Transactions on Neural Networks · 6,246

Dimensionality Reduction for Supervised Learning With Reproducing Kernel Hilbert Spaces

2003 · Kenji Fukumizu, Francis R. Bach, et al. · 694

10.1162/153244303768966085

2000 · Applied Physics Letters · 583

Kernel independent component analysis

2004 · F.R. Bach, M.I. Jordan · IEEE International Conference on Acoustics Speech and Signal Processing · 568

Adaptive Markov control processes

1990 · O. Hernandez-Lerma · European Journal of Operational Research · 374

Icasso: software for investigating the reliability of ICA estimates by clustering and visualization

2004 · J. Himberg, A. Hyvarinen · 260

Kernel Independent Component Analysis

2014 · Xianchuan Yu, Dan Hu, et al. · 232

Gaussian moments for noisy independent component analysis

1999 · A. Hyvarinen · IEEE Signal Processing Letters · 224

A family of fixed-point algorithms for independent component analysis

2002 · A. Hyvarinen · IEEE International Conference on Acoustics Speech and Signal Processing · 199

Independent Component Analysis Based on Nonparametric Density Estimation

2004 · R. Boscolo, H. Pan, et al. · IEEE Transactions on Neural Networks · 181

A generalization of joint-diagonalization criteria for source separation

2001 · E. Moreau · IEEE Transactions on Signal Processing · 171

Fast ICA for noisy data using Gaussian moments

2003 · A. Hyvarinen · IEEE International Symposium on Circuits and Systems proceedings · 170

Nonlinear blind source separation using a radial basis function network

2001 · Ying Tan, Jun Wang, et al. · IEEE Transactions on Neural Networks · 163

Contrasts for multichannel blind deconvolution

1996 · P. Comon · IEEE Signal Processing Letters · 148

Second Order Efficiency of Minimum Contrast Estimators in a Curved Exponential Family

1983 · Shinto Eguchi · The Annals of Statistics · 135

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Fast fixed-point independent vector analysis algorithms for convolutive blind source separation

2007 · Intae Lee, Taesu Kim, et al. · Signal Processing · 131

Covariance and Fisher information in quantum mechanics

2002 · Dénes Petz · Journal of Physics A Mathematical and General · 131

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High-order Contrasts for Self-adaptive Source Separation

1996 · ERIC MOREAU, ODILE MACCHI · International Journal of Adaptive Control and Signal Processing · 126

Mutual information approach to blind separation of stationary sources

2002 · Dinh Tuan Pham · IEEE Transactions on Information Theory · 123

Geometry of minimum contrast

1992 · Shinto Eguchi · Hiroshima Mathematical Journal · 121

Blind source-separation using second-order cyclostationary statistics

2001 · K. Abed-Meraim, Yong Xiang, et al. · IEEE Transactions on Signal Processing · 117

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The accuracy of the normal approximation for minimum contrast estimates

1971 · R. Michel, J. Pfanzagl · Probability Theory and Related Fields · 102

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The nonlinear PCA criterion in blind source separation: Relations with other approaches

1998 · Juha Karhunen, Petteri Pajunen, et al. · Neurocomputing · 99

A contrast source inversion method in the wavelet domain

2013 · Maokun Li, Oğuz Semerci, et al. · Inverse Problems · 98

Recursive estimation in hidden Markov models

2002 · F. LeGland, L. Mevel · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · 94

Works count: 490

Citation count: 15,610