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PAMI
2008
140views more  PAMI 2008»
15 years 7 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
PE
2008
Springer
114views Optimization» more  PE 2008»
15 years 7 months ago
An efficient technique to analyze the impact of bursty TCP traffic in wide-area networks
In this paper we describe an analytical technique for the performance evaluation of wide-area networks carrying realistic TCP traffic, such as that produced by a large number of f...
Michele Garetto, Donald F. Towsley
PR
2008
104views more  PR 2008»
15 years 7 months ago
Generative models for similarity-based classification
A maximum-entropy approach to generative similarity-based classifiers model is proposed. First, a descriptive set of similarity statistics is assumed to be sufficient for classifi...
Luca Cazzanti, Maya R. Gupta, Anjali J. Koppal
PE
2006
Springer
125views Optimization» more  PE 2006»
15 years 7 months ago
Approximating multi-skill blocking systems by HyperExponential Decomposition
We consider multi-class blocking systems in which jobs require a single processing step. There are groups of servers that can each serve a different subset of all job classes. The...
Geert Jan Franx, Ger Koole, Auke Pot
SCP
2008
89views more  SCP 2008»
15 years 7 months ago
A challenge for atomicity verification
An unpublished algorithm of Haldar and Vidyasankar implements an atomic variable of an arbitrary type T for one writer and one reader by means of 4 unsafe variables of type T , th...
Wim H. Hesselink