1406 search results - page 44 / 282 » Learning Pseudo-independent Models: Analytical and Experimen... |
117
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PAMI
2006
15 years 13 days ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
113
Voted
AAAI
2006
15 years 1 months ago
2006
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
135
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ATAL
2007
Springer
15 years 6 months ago
2007
Springer
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
65
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
In this paper, a novel background model on spatio-temporal patches is introduced for video surveillance, especially for night outdoor scene, where extreme lighting conditions ofte...
115
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...