6113 search results - page 426 / 1223 » Learning Features for Tracking |
190
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ECCV
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
171
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
218
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ICCV
2011
IEEE
14 years 6 months ago
2011
IEEE
Most existing techniques for analyzing face images assume that the faces are at near-frontal poses. Generalizing to non-frontal faces is often difficult, due to a dearth of groun...
165
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AGENTS
1999
Springer
15 years 11 months ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
208
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CIVR
2010
Springer
15 years 11 months ago
2010
Springer
Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. In the literature this proble...