6113 search results - page 167 / 1223 » Learning Features for Tracking |
147
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SARA
2005
Springer
15 years 12 months ago
2005
Springer
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
167
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JAIR
2010
15 years 4 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
186
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IROS
2008
IEEE
16 years 24 days ago
2008
IEEE
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
189
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AAAI
2011
14 years 6 months ago
2011
Applications that adapt to a particular end user often make inaccurate predictions during the early stages when training data is limited. Although an end user can improve the lear...
183
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CVPR
2010
IEEE
16 years 2 months ago
2010
IEEE
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...