374 search results - page 8 / 75 » Sparse representation of images with hybrid linear models |
PAMI
2012
11 years 11 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
SIAMIS
2008
13 years 8 months ago
2008
Modeling signals by sparse and redundant representations has been drawing considerable attention in recent years. Coupled with the ability to train the dictionary using signal exam...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
DCC
2007
IEEE
14 years 8 months ago
2007
IEEE
In this paper we propose a new motion compensated prediction technique that enables successful predictive encoding during fades, blended scenes, temporally decorrelated noise, and...
SIAMIS
2011
13 years 3 months ago
2011
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...