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237
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JMLR
2012
13 years 9 months ago
2012
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
217
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SODA
2012
ACM
13 years 9 months ago
2012
ACM
We resolve the problem of small-space approximate selection in random-order streams. Specifically, we present an algorithm that reads the n elements of a set in random order and ...
187
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...
161
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TIT
1998
15 years 6 months ago
1998
—Given n discrete random variables = fX1;111; Xng, associated with any subset of f1; 2; 111; ng, there is a joint entropy H(X ) where X = fXi:i 2 g. This can be viewed as a f...
177
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WSC
2008
15 years 9 months ago
2008
Uncertainty associated with input parameters and models in simulation has gained attentions in recent years. The sources of uncertainties include lack of data and lack of knowledg...