603 search results - page 54 / 121 » A discriminative model for semi-supervised learning |
182
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
165
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NIPS
2007
15 years 7 months ago
2007
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
190
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
200
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
201
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...