2103 search results - page 168 / 421 » Approximate Learning of Dynamic Models |
138
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ECCV
2006
Springer
16 years 7 months ago
2006
Springer
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...
190
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JMLR
2010
14 years 12 months ago
2010
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
182
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SDM
2012
SIAM
13 years 7 months ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
146
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ECAL
2007
Springer
15 years 11 months ago
2007
Springer
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
183
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ICCV
2011
IEEE
14 years 5 months ago
2011
IEEE
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...