66 search results - page 6 / 14 » Thresholded smoothed-l0(SL0) dictionary learning for sparse ... |
128
Voted
CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an overcomplete basis set. Most existing approaches employ a...
107
Voted
ICML
2010
IEEE
15 years 3 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...
158
Voted
CVPR
2012
IEEE
13 years 4 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...
115
click to vote
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
We present a new, block-based image codec based on sparse representations using a learned, structured dictionary called the IterationTuned and Aligned Dictionary (ITAD). The quest...
145
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TIP
2010
14 years 8 months ago
2010
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...