3837 search results - page 382 / 768 » Learning Approximate Consistencies |
179
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ECCV
2010
Springer
16 years 15 hour ago
2010
Springer
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
155
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SIGGRAPH
2010
ACM
15 years 11 months ago
2010
ACM
We present a technique for learning clothing models that enables the simultaneous animation of thousands of detailed garments in real-time. This surprisingly simple conditional mo...
171
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ECML
1993
Springer
15 years 11 months ago
1993
Springer
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
174
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ICML
1994
IEEE
15 years 10 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
195
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UAI
2000
15 years 8 months ago
2000
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...