2073 search results - page 40 / 415 » Learning for Dynamic Subsumption |
UAI
1998
15 years 3 months ago
1998
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
101
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NECO
2002
15 years 1 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
157
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CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
124
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AMFG
2007
IEEE
15 years 6 months ago
2007
IEEE
In this paper, we present an effective approach for spatiotemporal face recognition from videos using an Extended set of Volume LBP (Local Binary Pattern features) and a boosting s...
MANSCI
2007
15 years 1 months ago
2007
Companies such as Zara and World Co. have recently implemented novel product development processes and supply chain architectures enabling them to make more product design and ass...