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» Approximate Kernel Clustering
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NIPS
2003
14 years 11 months ago
Sample Propagation
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
Mark A. Paskin
UAI
2004
14 years 11 months ago
On the Choice of Regions for Generalized Belief Propagation
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Max Welling
TVCG
2011
175views more  TVCG 2011»
14 years 4 months ago
Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping
—This paper presents a fast parallel method to solve the radiative transport equation in inhomogeneous participating media. We apply a novel approximation scheme to find a good ...
László Szirmay-Kalos, Gabor Liktor, ...
JMLR
2010
141views more  JMLR 2010»
14 years 4 months ago
Hierarchical Gaussian Process Regression
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
Sunho Park, Seungjin Choi
ICML
2008
IEEE
15 years 11 months ago
Training structural SVMs when exact inference is intractable
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
Thomas Finley, Thorsten Joachims