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» Monte Carlo methods for matrix computations on the grid
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JMLR
2010
152views more  JMLR 2010»
14 years 4 months ago
Bayesian Generalized Kernel Models
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. ...
ICCV
1999
IEEE
15 years 2 months ago
Bayesian Structure from Motion
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
David A. Forsyth, Sergey Ioffe, John A. Haddon
ICPR
2008
IEEE
15 years 4 months ago
Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch
This article presents a novel integrated approach to object of interest extraction, including learning to define target pattern and extracting by combining detection and segmenta...
Hongwei Li, Liang Lin, Tianfu Wu, Xiaobai Liu, Lan...
COMPUTING
2006
130views more  COMPUTING 2006»
14 years 9 months ago
Dynamic Data Driven Simulations in Stochastic Environments
To improve the predictions in dynamic data driven simulations (DDDAS) for subsurface problems, we propose the permeability update based on observed measurements. Based on measurem...
Craig C. Douglas, Yalchin Efendiev, Richard E. Ewi...
MICCAI
2004
Springer
15 years 3 months ago
Empirical Evaluation of Covariance Estimates for Mutual Information Coregistration
Mutual information has become a popular similarity measure in multi-modality medical image registration since it was first applied to the problem in 1995. This paper describes a m...
Paul A. Bromiley, Maja Pokric, Neil A. Thacker