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AAAI
2007
14 years 10 days ago
Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks
Since Bayesian network (BN) was introduced in the field of artificial intelligence in 1980s, a number of inference algorithms have been developed for probabilistic reasoning. Ho...
Wei Sun, Kuo-Chu Chang
CVPR
2012
IEEE
12 years 13 days ago
Top-down visual saliency via joint CRF and dictionary learning
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
Jimei Yang, Ming-Hsuan Yang
COLT
2007
Springer
14 years 4 months ago
Observational Learning in Random Networks
In the standard model of observational learning, n agents sequentially decide between two alternatives a or b, one of which is objectively superior. Their choice is based on a stoc...
Julian Lorenz, Martin Marciniszyn, Angelika Steger
ICIP
2007
IEEE
14 years 11 months ago
Incorporating Depth-Image Based View-Prediction into H.264 for Multiview-Image Coding
We investigate the coding of multiview images obtained from a set of multiple cameras. To exploit the inter-view correlation, two viewprediction tools have been implemented and us...
Yannick Morvan, Dirk Farin, Peter H. N. de With
FUZZIEEE
2007
IEEE
14 years 4 months ago
Fuzzy Approximation for Convergent Model-Based Reinforcement Learning
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...