45 search results - page 5 / 9 » Learning sparse dictionaries with a popularity-based model |
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
ICML
2009
IEEE
14 years 8 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...
TIP
2010
13 years 2 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...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...