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ML
2002
ACM
220views Machine Learning» more  ML 2002»
15 years 6 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
SIAMCO
2010
128views more  SIAMCO 2010»
15 years 4 months ago
A Parallel Splitting Method for Coupled Monotone Inclusions
A parallel splitting method is proposed for solving systems of coupled monotone inclusions in Hilbert spaces, and its convergence is established under the assumption that solutions...
Hedy Attouch, Luis M. Briceño-Arias, Patric...
ICCAD
2010
IEEE
133views Hardware» more  ICCAD 2010»
15 years 3 months ago
Testing methods for detecting stuck-open power switches in coarse-grain MTCMOS designs
Coarse-grain multi-threshold CMOS (MTCMOS) is an effective power-gating technique to reduce IC's leakage power consumption by turning off idle devices with MTCMOS power switc...
Szu-Pang Mu, Yi-Ming Wang, Hao-Yu Yang, Mango Chia...
AI
2011
Springer
14 years 10 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
CVPR
2007
IEEE
16 years 8 months ago
Multiview normal field integration using level set methods
In this paper, we propose a new method to integrate multiview normal fields using level sets. In contrast with conventional normal integration algorithms used in shape from shadin...
Ju Yong Chang, Kyoung Mu Lee, Sang Uk Lee