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» Universal Sparse Modeling
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ICASSP
2011
IEEE
14 years 4 months ago
Speaker verification using sparse representation classification
Sparse representations of signals have received a great deal of attention in recent years, and the sparse representation classifier has very lately appeared in a speaker recogniti...
Jia Min Karen Kua, Eliathamby Ambikairajah, Julien...
134
Voted
JMLR
2012
13 years 3 months ago
Structured Sparse Canonical Correlation Analysis
In this paper, we propose to apply sparse canonical correlation analysis (sparse CCA) to an important genome-wide association study problem, eQTL mapping. Existing sparse CCA mode...
Xi Chen, Han Liu, Jaime G. Carbonell
94
Voted
ISBI
2008
IEEE
16 years 1 months ago
Inferring brain dynamics using granger causality on fMRI data
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Ra...
88
Voted
ICIP
2009
IEEE
16 years 1 months ago
Reconstructing Ft-ir Spectroscopic Imaging Data With A Sparse Prior
Fourier Transform Infrared (FT-IR) spectroscopic imaging is a potentially valuable tool for diagnosing breast and prostate cancer, but its clinical deployment is limited due to lo...
118
Voted
ICML
2009
IEEE
16 years 1 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...