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» Complexity of Inference in Graphical Models
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PIMRC
2008
IEEE
14 years 2 months ago
Bayesian inference in linear models with a random Gaussian matrix : Algorithms and complexity
—We consider the Bayesian inference of a random Gaussian vector in a linear model with a random Gaussian matrix. We review two approaches to finding the MAP estimator for this m...
Ido Nevat, Gareth W. Peters, Jinhong Yuan
PCM
2004
Springer
168views Multimedia» more  PCM 2004»
14 years 28 days ago
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual trackin...
Jianyu Wang, Debin Zhao, Shiguang Shan, Wen Gao
TC
2010
13 years 6 months ago
Scalable Node-Level Computation Kernels for Parallel Exact Inference
—In this paper, we investigate data parallelism in exact inference with respect to arbitrary junction trees. Exact inference is a key problem in exploring probabilistic graphical...
Yinglong Xia, Viktor K. Prasanna
SIGGRAPH
1997
ACM
13 years 11 months ago
The haptic display of complex graphical environments
Force feedback coupled with visual display allows people to interact intuitively with complex virtual environments. For this synergy of haptics and graphics to flourish, however, ...
Diego C. Ruspini, Krasimir Kolarov, Oussama Khatib