224 search results - page 23 / 45 » G-graphs for the cage problem: a new upper bound |
152
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ICML
2008
IEEE
16 years 6 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
179
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ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
We present a new method for the incremental training of multiclass Support Vector Machines that provides computational efficiency for training problems in the case where the trai...
163
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
In this paper, a new adaptive beamforming algorithm with joint robustness against covariance matrix uncertainty as well as steering vector mismatch is proposed. First, the theoret...
178
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ICCV
2011
IEEE
14 years 6 months ago
2011
IEEE
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
159
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STOC
2001
ACM
16 years 6 months ago
2001
ACM
Consider a setting in which a group of nodes, situated in a large underlying network, wishes to reserve bandwidth on which to support communication. Virtual private networks (VPNs...