132 search results - page 11 / 27 » Context-specific approximation in probabilistic inference |
IJCAI
2003
15 years 1 months ago
2003
We present a new general framework for online istic plan recognition called the Abstract Hidden Markov Memory Model (AHMEM). The l is an extension of the existing Abstract Hidden ...
107
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IJON
2010
14 years 7 months ago
2010
This paper presents a novel methodology to infer parameters of probabilistic models whose output noise is a Student-t distribution. The method is an extension of earlier work for ...
120
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ICRA
2009
IEEE
14 years 10 months ago
2009
IEEE
In Simultaneous Localisation and Mapping (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poo...
CORR
2006
Springer
15 years 12 days ago
2006
Springer
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
114
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CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...