468 search results - page 56 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
104
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PKDD
2009
Springer
15 years 7 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...
115
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TSP
2010
14 years 7 months ago
2010
In many tracking scenarios, the amplitude of target returns are stronger than those coming from false alarms. This information can be used to improve the multi-target state estimat...
99
Voted
ICIP
2003
IEEE
16 years 2 months ago
2003
IEEE
This paper presents an efficient compression-oriented segmentation algorithm for computer-generated document images. In this algorithm, a document image is represented in a block-...
118
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ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
122
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ICCV
2001
IEEE
16 years 2 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...