6113 search results - page 257 / 1223 » Learning Features for Tracking |
181
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PKDD
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
159
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MLMI
2007
Springer
16 years 20 days ago
2007
Springer
The use of large speech corpora in example-based approaches for speech recognition is mainly focused on increasing the number of examples. This strategy presents some difficulties ...
167
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KDD
1995
ACM
15 years 10 months ago
1995
ACM
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
177
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TRECVID
2007
15 years 7 months ago
2007
This paper reports our experiments on the concept detection task of TRECVID 2007. In these experiments, we have addressed two approaches which are selecting and fusing features and...
195
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...