The Use of isometric transformations and bayesian estimation in compressive sensing for fMRI classification
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Tara N. Sainath | Bhuvana Ramabhadran | Pini Gurfil | Dimitri Kanevsky | David Nahamoo | Avishy Carmi | D. Nahamoo | T. Sainath | D. Kanevsky | B. Ramabhadran | A. Carmi | P. Gurfil | Avishy Carmi
[1] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[2] A. Ishai,et al. Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.
[3] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[4] Tom M. Mitchell,et al. Learning to Decode Cognitive States from Brain Images , 2004, Machine Learning.
[5] Debashis Ghosh,et al. Classification and Selection of Biomarkers in Genomic Data Using LASSO , 2005, Journal of biomedicine & biotechnology.
[6] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[7] Terence Tao,et al. The Dantzig selector: Statistical estimation when P is much larger than n , 2005, math/0506081.
[8] Lawrence Carin,et al. Bayesian Compressive Sensing , 2008, IEEE Transactions on Signal Processing.
[9] Brent A. Johnson. Fast Restoration Dantzig Selection for Censored Data , 2009 .
[10] Bhuvana Ramabhadran,et al. IBM Research Report Isometry-enforcing Data Transformations for Improving Sparse Model Learning , 2009 .
[11] D. Kanevsky,et al. ABCS : Approximate Bayesian Compressed Sensing , 2009 .
[12] Pini Gurfil,et al. Methods for Sparse Signal Recovery Using Kalman Filtering With Embedded Pseudo-Measurement Norms and Quasi-Norms , 2010, IEEE Transactions on Signal Processing.