827 search results - page 112 / 166 » Variational methods for Reinforcement Learning |
109
Voted
CVPR
2006
IEEE
15 years 6 months ago
2006
IEEE
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
103
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NIPS
2004
15 years 1 months ago
2004
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
125
Voted
AAAI
2011
14 years 17 days ago
2011
We present a method for dependency grammar induction that utilizes sparse annotations of semantic relations. This induction set-up is attractive because such annotations provide u...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
114
Voted
SI3D
2010
ACM
15 years 7 months ago
2010
ACM
In this paper a method for estimating a rigid skeleton, including skinning weights, skeleton connectivity, and joint positions, given a sparse set of example poses is presented. I...