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UAI
2001
13 years 9 months ago
Expectation Propagation for approximate Bayesian inference
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
Thomas P. Minka
UAI
2004
13 years 9 months ago
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
ET
2008
92views more  ET 2008»
13 years 7 months ago
Hardware and Software Transparency in the Protection of Programs Against SEUs and SETs
Processor cores embedded in systems-on-a-chip (SoCs) are often deployed in critical computations, and when affected by faults they may produce dramatic effects. When hardware harde...
Eduardo Luis Rhod, Carlos Arthur Lang Lisbôa...
CVPR
2004
IEEE
13 years 11 months ago
Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
Yizhou Wang, Song Chun Zhu
RT
1995
Springer
13 years 11 months ago
The Role of Functional Analysis in Global Illumination
Abstract: The problem of global illumination is virtually synonymouswith solving the rendering equation. Although a great deal of research has been directed toward Monte Carlo and ...
James Arvo