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AI
2007
Springer
14 years 4 months ago
Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks
Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
Changhe Yuan, Marek J. Druzdzel
NIPS
2003
13 years 11 months ago
Bayesian Color Constancy with Non-Gaussian Models
We present a Bayesian approach to color constancy which utilizes a nonGaussian probabilistic model of the image formation process. The parameters of this model are estimated direc...
Charles R. Rosenberg, Thomas P. Minka, Alok Ladsar...
CSDA
2006
142views more  CSDA 2006»
13 years 10 months ago
A Bayesian approach to bandwidth selection for multivariate kernel density estimation
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...
Xibin Zhang, Maxwell L. King, Rob J. Hyndman
ACSD
2004
IEEE
95views Hardware» more  ACSD 2004»
14 years 1 months ago
Guided Model Checking with a Bayesian Meta-heuristic
Abstract. This paper presents a formal verification algorithm for finding errors in models of complex concurrent systems. The algorithm improves explicit guided model checking by a...
Kevin D. Seppi, Michael Jones, Peter Lamborn
CVPR
1998
IEEE
14 years 12 months ago
A Statistical Framework for Long-Range Feature Matching in Uncalibrated Image Mosaicing
The problem considered in this paper is that of estimating the projective transformation between two images in situations where the image motion is large and featurematching is no...
Tat-Jen Cham, Roberto Cipolla