A general approach to sparse basis selection: Majorization, concavity, and affine scaling (1997)

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by K. Kreutz-Delgado , B. D. Rao
Venue:IN PROCEEDINGS OF THE TWELFTH ANNUAL CONFERENCE ON COMPUTATIONAL LEARNING THEORY
Citations:6 - 3 self

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79 An affine scaling methodology for best basis selection – Bhaskar D. Rao, Senior Member, Kenneth Kreutz-delgado, Senior Member - 1999
Compressive sensing: a paradigm shift in signal processing – Olga V. Holtz - 812
131 Sparse solutions to linear inverse problems with multiple measurement vectors – Shane F. Cotter, Bhaskar D. Rao, Kjersti Engan, Kenneth Kreutz-delgado, Senior Member - 2005
91 Just relax: Convex programming methods for subset selection and sparse approximation – Joel A. Tropp - 2004
Bayesian Pursuit Algorithms 1 – Cédric Herzet, Angélique Drémeau
4 Sparse basis selection: New results and application to adaptive prediction of video source traffic – Amir F. Atiya, Senior Member, Mohamed A. Aly, Er G. Parlos, Senior Member - 2005
i Acknowledgments – Chaitanya Ekanadham, Eero P. Simoncelli, Daniel Tranchina C, Chaitanya Ekanadham, Thesis Eero Simoncelli - 2012
16 The Problem of Sparse Image Coding – Arthur E. C. Pece - 2001
Handbook of Blind Source . . . – P. Comon, C. Jutten (eds.) - 2009
Multicriteria models for fair resource allocation 1 by – unknown authors
Bayesian Modelling of Music: Algorithmic Advances and . . . – Thomas Blumensath - 2005
30 Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory – Alyson K. Fletcher, Sundeep Rangan, Vivek K Goyal, Kannan Ramchandran - 2006
13 On-off random access channels: A compressed sensing framework – Alyson K. Fletcher, Sundeep Rangan, Vivek K Goyal - 2009
14 Bayesian Methods for Finding Sparse Representations – David Paul Wipf - 2006
46 Fast adaptive wavelet packet image compression – François G. Meyer, Amir Z. Averbuch, Jan-olov Strömberg - 2000
8 A tutorial on convex optimization – Haitham Hindi
2 Neural Networks: A Pattern Recognition Perspective – Christopher M. Bishop - 1996
Modelling Functions From Sample Data With Classification Applications – Sirpa Helena Saarinen - 1994
4 Bayesian kernel methods – Alexander J. Smola, Bernhard Schölkopf - 2003