71 search results - page 11 / 15 » Proximal Methods for Sparse Hierarchical Dictionary Learning |
122
Voted
ECAI
2004
Springer
15 years 2 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
CVPR
2001
IEEE
15 years 11 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
201
click to vote
CCIW
2011
Springer
14 years 1 months ago
2011
Springer
The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...