343 search results - page 56 / 69 » Imitation Learning Using Graphical Models |
96
Voted
ICONIP
2004
15 years 1 months ago
2004
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
98
Voted
GRAPHITE
2007
ACM
15 years 4 months ago
2007
ACM
We present a data-driven technique for generating the precomputed radiance transfer vectors of an animated character as a function of its joint angles. We learn a linear model for...
126
Voted
KDD
2004
ACM
16 years 28 days ago
2004
ACM
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
147
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
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 ...