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BMCBI
2008
159views more  BMCBI 2008»
15 years 17 days ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
CLEAR
2007
Springer
271views Biometrics» more  CLEAR 2007»
15 years 6 months ago
The AIT Multimodal Person Identification System for CLEAR 2007
This paper presents the person identification system developed at Athens Information Technology and its performance in the CLEAR 2007 evaluations. The system operates on the audiov...
Andreas Stergiou, Aristodemos Pnevmatikakis, Lazar...
114
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ICASSP
2010
IEEE
15 years 19 days ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
116
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PAMI
2007
97views more  PAMI 2007»
14 years 12 months ago
Statistical Performance Evaluation of Biometric Authentication Systems Using Random Effects Models
As biometric authentication systems become more prevalent, it is becoming increasingly important to evaluate their performance. The current paper introduces a novel statistical me...
Sinjini Mitra, Marios Savvides, Anthony Brockwell
135
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JMLR
2010
156views more  JMLR 2010»
14 years 7 months ago
Classification with Incomplete Data Using Dirichlet Process Priors
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
Chunping Wang, Xuejun Liao, Lawrence Carin, David ...