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ICASSP
2010
IEEE
13 years 8 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
AUTOMATICA
2008
118views more  AUTOMATICA 2008»
13 years 8 months ago
Root-mean-square gains of switched linear systems: A variational approach
We consider the problem of computing the root-mean-square (RMS) gain of switched linear systems. We develop a new approach which is based on an attempt to characterize the "w...
Michael Margaliot, João Pedro Hespanha
KAIS
2007
75views more  KAIS 2007»
13 years 8 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
PR
2007
139views more  PR 2007»
13 years 7 months ago
Learning the kernel matrix by maximizing a KFD-based class separability criterion
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
Dit-Yan Yeung, Hong Chang, Guang Dai
PAAMS
2010
Springer
13 years 6 months ago
A Case Study on Grammatical-Based Representation for Regular Expression Evolution
Abstract. Regular expressions, or simply regex, have been widely used as a powerful pattern matching and text extractor tool through decades. Although they provide a powerful and f...
Antonio González-Pardo, David F. Barrero, D...