2949 search results - page 140 / 590 » Universal Sparse Modeling |
104
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ACL
2001
15 years 2 months ago
2001
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
123
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PPOPP
2012
ACM
13 years 8 months ago
2012
ACM
Analysis of massive graphs has emerged as an important area for massively parallel computation. In this paper, it is shown how the Fresh Breeze trees-of-chunks memory model may be...
141
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ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
98
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
119
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ICCV
2005
IEEE
15 years 6 months ago
2005
IEEE
In this paper, we develop an efficient technique for fully automatic recovery of accurate 3D face shape from videos captured by a low cost camera. The method is designed to work ...