2949 search results - page 219 / 590 » Universal Sparse Modeling |
142
Voted
ACL
2006
15 years 4 months ago
2006
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
114
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CORR
2008
Springer
15 years 3 months ago
2008
Springer
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
126
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ACL
2010
15 years 1 months ago
2010
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
149
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KDD
2012
ACM
13 years 5 months ago
2012
ACM
Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patte...
123
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ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
We employ 3D arrangements of curves to represent and analyze biological shapes, in particular, the anatomy of the human brain. The arrangements of curves may vary from fairly spar...