101 search results - page 8 / 21 » Fisher Discrimination Dictionary Learning for Sparse Represe... |
119
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ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper, an automatic target recognition algorithm is presented based on a framework for learning dictionaries for simultaneous sparse signal representation and feature extr...
ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
In this paper, we suggest to use a steepest descent algorithm for learning a parametric dictionary in which the structure or atom functions are known in advance. The structure of ...
119
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TIP
2008
14 years 11 months ago
2008
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
105
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CVPR
2011
IEEE
14 years 3 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...