1864 search results - page 90 / 373 » Modeling Classification and Inference Learning |
121
Voted
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
142
Voted
AMDO
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
110
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
118
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ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
83
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...