8099 search results - page 516 / 1620 » Higher-Order Task Models |
203
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ROBOCUP
2007
Springer
16 years 1 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
152
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ACCV
2006
Springer
16 years 29 days ago
2006
Springer
Abstract. We present an alignment framework for object detection using a hierarchy of 3D polygonal models. One difficulty with alignment methods is that the high-dimensional transf...
192
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AMFG
2005
IEEE
16 years 18 days ago
2005
IEEE
We present a new framework to represent and analyze dynamic facial motions using a decomposable generative model. In this paper, we consider facial expressions which lie on a one d...
175
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ICDM
2005
IEEE
16 years 17 days ago
2005
IEEE
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
198
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WETICE
2005
IEEE
16 years 16 days ago
2005
IEEE
System theory propagates the use of models which e level of abstraction to cope with complexity, evolving out of variety and connectivity. Different modeling techniques have been ...