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» Monte Carlo methods for matrix computations on the grid
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97
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UAI
2001
14 years 11 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
JMLR
2011
148views more  JMLR 2011»
14 years 4 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
77
Voted
DAC
2004
ACM
15 years 10 months ago
Reducing clock skew variability via cross links
Increasingly significant variational effects present a great challenge for delivering desired clock skew reliably. Non-tree clock network has been recognized as a promising approac...
Anand Rajaram, Jiang Hu, Rabi N. Mahapatra
RT
2004
Springer
15 years 3 months ago
Practical Rendering of Multiple Scattering Effects in Participating Media
Volumetric light transport effects are significant for many materials like skin, smoke, clouds, snow or water. In particular, one must consider the multiple scattering of light w...
Simon Premoze, Michael Ashikhmin, Ravi Ramamoorthi...
114
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CVPR
2004
IEEE
15 years 1 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