5463 search results - page 505 / 1093 » Evaluating algorithms that learn from data streams |
194
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PKDD
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
189
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DAGM
2008
Springer
15 years 8 months ago
2008
Springer
This article presents a genetic learning algorithm to derive discrete patterns that can be used for classification and retrieval of 3D motion capture data. Based on boolean motion ...
207
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NIPS
2000
15 years 8 months ago
2000
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
196
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JAIR
2002
15 years 6 months ago
2002
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
180
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AVSS
2006
IEEE
16 years 28 days ago
2006
IEEE
We present a simple, principled approach to detecting foreground objects in video sequences in real-time. Our method is based on an on-line discriminative learning technique that ...