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ICML
2004
IEEE
14 years 8 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
IJAR
2008
95views more  IJAR 2008»
13 years 7 months ago
Complexity results for enhanced qualitative probabilistic networks
While quantitative probabilistic networks (QPNs) allow the expert to state influences between nodes in the network as influence signs, rather than conditional probabilities, infer...
Johan Kwisthout, Gerard Tel
ICCV
2007
IEEE
13 years 9 months ago
COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes
Development of multiple camera based vision systems for analysis of dynamic objects such as humans is challenging due to occlusions and similarity in the appearance of a person wi...
Abhinav Gupta, Anurag Mittal, Larry S. Davis
ICML
2004
IEEE
14 years 8 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
AI
2008
Springer
14 years 1 months ago
A Belief-Theoretic Reputation Estimation Model for Multi-context Communities
Online communities have grown to be an alternative form of communication for many people. This widespread growth and influence of the members of these communities in shaping the d...
Ebrahim Bagheri, M. Barouni-Ebrahimi, Reza Zafaran...