226 search results - page 23 / 46 » How to learn a graph from smooth signals |
146
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NIPS
2004
15 years 3 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
131
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
We propose a new kernel function for attributed molecular graphs, which is based on the idea of computing an optimal assignment from the atoms of one molecule to those of another ...
156
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MIR
2006
ACM
15 years 8 months ago
2006
ACM
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
115
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ICMLA
2004
15 years 3 months ago
2004
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...