3607 search results - page 14 / 722 » Learning with structured sparsity |
126
Voted
CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
133
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
143
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ICDM
2010
IEEE
14 years 11 months ago
2010
IEEE
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
132
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ICIP
2010
IEEE
14 years 11 months ago
2010
IEEE
We propose a motion deblurring algorithm that exploits sparsity constraints of image patches using one single frame. In our formulation, each image patch is encoded with sparse co...
109
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NIPS
2008
15 years 3 months ago
2008
We propose a general method called truncated gradient to induce sparsity in the weights of onlinelearning algorithms with convex loss functions. This method has several essential ...