4591 search results - page 686 / 919 » Learning from Dyadic Data |
180
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KDD
2012
ACM
13 years 6 months ago
2012
ACM
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
158
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KDD
2012
ACM
13 years 6 months ago
2012
ACM
Online advertising is increasingly becoming more performance oriented, where the decision to show an advertisement to a user is made based on the user’s propensity to respond to...
138
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
129
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ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
164
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EMMCVPR
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...