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BMCBI
2005
140views more  BMCBI 2005»
13 years 9 months ago
Dissecting systems-wide data using mixture models: application to identify affected cellular processes
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
J. Peter Svensson, Renée X. de Menezes, Ing...
GLOBECOM
2010
IEEE
13 years 7 months ago
Peer-to-Peer Storage Systems: A Practical Guideline to be Lazy
Distributed and peer-to-peer storage systems are foreseen as an alternative to the traditional data centers and in-house backup solutions. In the past few years many peerto-peer st...
Frédéric Giroire, Julian Monteiro, S...
ANNPR
2006
Springer
14 years 1 months ago
Support Vector Regression Using Mahalanobis Kernels
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
Yuya Kamada, Shigeo Abe
ICMCS
2006
IEEE
129views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Speaker Identification using a Microphone Array and a Joint HMM with Speech Spectrum and Angle of Arrival
In this paper, we present a speaker identification algorithm for a microphone array based on a first-order joint Hidden Markov Model (HMM) where the observations correspond to t...
Jack W. Stokes, John C. Platt, Sumit Basu
SSPR
2010
Springer
13 years 8 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain