1582 search results - page 53 / 317 » On sparse signal representations |
123
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CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
We address the image denoising problem, where zeromean white and homogeneous Gaussian additive noise should be removed from a given image. The approach taken is based on sparse an...
112
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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Sparse representations using overcomplete dictionaries are used in a variety of field such as pattern recognition and compression. However, the size of dictionary is usually a tra...
110
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PRICAI
2010
Springer
14 years 9 months ago
2010
Springer
Unlike traditional classification tasks, multilabel classification allows a sample to associate with more than one label. This generalization naturally arises the difficulty in cla...
IJON
2007
14 years 11 months ago
2007
The present article proposes a novel computational approach to the motor planning. In this approach, each motor command is represented as a linear combination of prefixed basis p...