1391 search results - page 82 / 279 » Optimally Sparse Frames |
132
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TSP
2010
14 years 6 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
CORR
2010
Springer
14 years 12 months ago
2010
Springer
We use convex relaxation techniques to produce lower bounds on the optimal value of subset selection problems and generate good approximate solutions. We then explicitly bound the...
110
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CVPR
2008
IEEE
16 years 1 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...
ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
104
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ICIW
2009
IEEE
15 years 6 months ago
2009
IEEE
BitTorrent and Practical Network Coding are efficient methods for sharing files in a peer-to-peer network. Both face the problem to distribute a given file using peers with dif...