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AAAI
2007
15 years 9 months 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
13 years 9 months 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
16 years 1 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
16 years 8 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
16 years 1 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...