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165
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CAD
2007
Springer
15 years 6 months ago
2007
Springer
Systematically generalizing planar geometric algorithms to manifold domains is of fundamental importance in computer aided design field. This paper proposes a novel theoretic fra...
181
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ICPR
2000
IEEE
16 years 7 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
182
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ICDM
2008
IEEE
16 years 1 months ago
2008
IEEE
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
202
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TWC
2010
15 years 1 months ago
2010
Relay selection for cooperative communications promises significant performance improvements, and is, therefore, attracting, considerable attention. While several criteria have be...
169
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
The problem of dense optical flow computation is addressed from a variational viewpoint. A new geometric framework is introduced. It unifies previous art and yields new efficient ...