1719 search results - page 14 / 344 » Supervised Dictionary Learning |
117
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
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...
147
Voted
CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
99
Voted
ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Visual dictionary learning and base (binary) classifier training are two basic problems for the recently most popular image categorization framework, which is based on t...
102
Voted
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
The enhancement of speech degraded by non-stationary interferers is a highly relevant and difficult task of many signal processing applications. We present a monaural speech enhan...
101
Voted
ICIP
2004
IEEE
16 years 2 months ago
2004
IEEE
The dictionary approach to signal and image processing has been massively investigated in the last two decades, proving very attractive for a wide range of applications. The effec...