2949 search results - page 140 / 590 » Universal Sparse Modeling |
122
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ACL
2001
15 years 4 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...
136
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PPOPP
2012
ACM
13 years 10 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...
161
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ICASSP
2008
IEEE
15 years 9 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...
118
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ICML
2009
IEEE
16 years 3 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...
146
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ICCV
2005
IEEE
15 years 8 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 ...