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» Kernels for Global Constraints
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ICASSP
2008
IEEE
14 years 2 months ago
A multi-class MLLR kernel for SVM speaker recognition
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
Zahi N. Karam, William M. Campbell
IJCAI
1993
13 years 9 months ago
Using Inferred Disjunctive Constraints To Decompose Constraint Satisfaction Problems
Constraint satisfaction problems involve finding values for problem variables that satisfy constraints on what combinations of values are permitted. They have applications in many...
Eugene C. Freuder, Paul D. Hubbe
ACL
1998
13 years 9 months ago
An Efficient Kernel for Multilingual Generation in Speech-to-Speech Dialogue Translation
We present core aspects of a fully implemented generation component in a multilingual speechto-speech dialogue translation system. Its design was particularly influenced by the ne...
Tilman Becker, Wolfgang Finkler, Anne Kilger, Pete...
CP
2007
Springer
14 years 1 months ago
Advisors for Incremental Propagation
Abstract. While incremental propagation for global constraints is recognized to be important, little research has been devoted to how propagator-centered constraint programming sys...
Mikael Z. Lagerkvist, Christian Schulte
ICIP
2006
IEEE
14 years 9 months ago
Using Non-Parametric Kernel to Segment and Smooth Images Simultaneously
Piecewise constant and piecewise smooth Mumford-Shah (MS) models have been widely studied and used for image segmentation. More complicated than piecewise constant MS, global Gaus...
Weihong Guo, Yunmei Chen