8970 search results - page 208 / 1794 » Learning to Learn Causal Models |
176
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ISVC
2010
Springer
15 years 3 months ago
2010
Springer
In this paper, we propose an automatic learning method for gesture recognition. We combine two different pattern recognition techniques: the SelfOrganizing Map (SOM) and Support Ve...
183
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AAAI
2011
14 years 5 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
129
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SAT
2004
Springer
15 years 10 months ago
2004
Springer
The finite model generation problem in the first-order logic is a generalization of the propositional satisfiability (SAT) problem. An essential algorithm for solving the proble...
ICPR
2010
IEEE
15 years 7 months ago
2010
IEEE
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
149
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NIPS
2008
15 years 6 months ago
2008
Extensive labeled data for image annotation systems, which learn to assign class labels to image regions, is difficult to obtain. We explore a hybrid model framework for utilizing...