282 search results - page 8 / 57 » Parsimonious dictionary learning |
112
Voted
COLING
2008
15 years 5 months ago
2008
Much previous work has investigated weak supervision with HMMs and tag dictionaries for part-of-speech tagging, but there have been no similar investigations for the harder proble...
128
Voted
COLT
2010
Springer
15 years 1 months ago
2010
Springer
Let S be an arbitrary measurable space, T R and (X, Y ) be a random couple in S
126
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
140
Voted
ICML
2009
IEEE
16 years 4 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...
170
Voted
CVPR
2012
IEEE
13 years 6 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...