51 search results - page 4 / 11 » Phase Transitions for Greedy Sparse Approximation Algorithms |
119
click to vote
CVPR
2012
IEEE
12 years 12 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...
84
Voted
ICIP
2004
IEEE
15 years 11 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...
83
Voted
NECO
2008
14 years 9 months ago
2008
While evidence indicates that neural systems may be employing sparse approximations to represent sensed stimuli, the mechanisms underlying this ability are not understood. We desc...
112
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
152
click to vote
OA
1989
15 years 1 months ago
1989
nce Abstract) 1 GAUTAM DAS - University of Wisconsin DEBORAH JOSEPH - University of Wisconsin Chew and Dobkin et. al. have shown that the Delaunay triangulation and its variants ar...