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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
MOC
2002
131views more  MOC 2002»
15 years 6 months ago
Some baby-step giant-step algorithms for the low hamming weight discrete logarithm problem
In this paper, we present several baby-step giant-step algorithms for the low hamming weight discrete logarithm problem. In this version of the discrete log problem, we are require...
Douglas R. Stinson
MP
2002
103views more  MP 2002»
15 years 6 months ago
Detecting Jacobian sparsity patterns by Bayesian probing
In this paper we describe an automatic procedure for successively reducing the set of possible nonzeros in a Jacobian matrix until eventually the exact sparsity pattern is obtained...
Andreas Griewank, Christo Mitev
PAMI
1998
94views more  PAMI 1998»
15 years 6 months ago
Unconstrained Automatic Image Matching Using Multiresolutional Critical-Point Filters
—This paper proposes a novel method for matching images. The results can be used for a variety of applications: fully automatic morphing, object recognition, stereo photogrammetr...
Yoshihisa Shinagawa, Tosiyasu L. Kunii
RML
2002
140views Business» more  RML 2002»
15 years 6 months ago
UML as knowledge acquisition frontend for Semantic Web configuration knowledge bases
The trend towards highly specialized solution providers cooperatively offering configurable products and services to their customers requires the extension of current (standalone)...
Alexander Felfernig, Gerhard Friedrich, Dietmar Ja...