2103 search results - page 226 / 421 » Approximate Learning of Dynamic Models |
157
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NIPS
2003
15 years 7 months ago
2003
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
172
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
As passive optical networks (PON) are increasingly deployed to provide high speed Internet access, it is important to understand their fundamental traffic capacity limits. The pape...
169
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NIPS
2008
15 years 7 months ago
2008
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
157
Voted
NIPS
2004
15 years 7 months ago
2004
Areas of the brain involved in various forms of memory exhibit patterns of neural activity quite unlike those in canonical computational models. We show how to use well-founded Ba...
178
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...