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» Modeling affordances using Bayesian networks
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ECCV
2002
Springer
15 years 11 months ago
Stereo Matching Using Belief Propagation
In this paper, we formulate the stereo matching problem as a Markov network consisting of three coupled Markov random fields (MRF's). These three MRF's model a smooth fie...
Jian Sun, Heung-Yeung Shum, Nanning Zheng
PR
2011
14 years 24 days ago
Detecting and discriminating behavioural anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempo...
Chen Change Loy, Tao Xiang, Shaogang Gong
GCB
2004
Springer
113views Biometrics» more  GCB 2004»
15 years 3 months ago
Feature Based Representation and Detection of Transcription Factor Binding Sites
: The prediction of transcription factor binding sites is an important problem, since it reveals information about the transcriptional regulation of genes. A commonly used represen...
Rainer Pudimat, Ernst Günter Schukat-Talamazz...
CONTEXT
2001
Springer
15 years 2 months ago
Belief Expansion, Contextual Fit, and the Reliability of Information Sources
We develop a probabilistic criterion for belief expansion that is sensitive to the degree of contextual fit of the new information to our belief set as well as to the reliability...
Luc Bovens, Stephan Hartmann
ICMLA
2009
14 years 7 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson