518 search results - page 40 / 104 » Object correspondence as a machine learning problem |
ECCV
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
147
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UAI
2004
15 years 3 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
117
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PKDD
2010
Springer
15 years 10 days ago
2010
Springer
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
103
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
105
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ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...