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» Evaluation of Expression Recognition Techniques
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BMCBI
2008
114views more  BMCBI 2008»
13 years 10 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson
ICASSP
2011
IEEE
13 years 1 months ago
Improved speaker recognition when using i-vectors from multiple speech sources
The concept of speaker recognition using i-vectors was recently introduced offering state-of-the-art performance. An i-vector is a compact representation of a speaker’s utteranc...
Mitchell McLaren, David A. van Leeuwen
SP
2008
IEEE
134views Security Privacy» more  SP 2008»
13 years 10 months ago
Discover gene specific local co-regulations from time-course gene expression data
Discovering gene co-regulatory relationships is one of most important research in DNA microarray data analysis. The problem of gene specific co-regulation discovery is to, for a p...
Ji Zhang, Qigang Gao, Hai H. Wang
CSL
2002
Springer
13 years 9 months ago
Recognition confidence scoring and its use in speech understanding systems
In this paper we present an approach to recognition confidence scoring and a set of techniques for integrating confidence scores into the understanding and dialogue components of ...
Timothy J. Hazen, Stephanie Seneff, Joseph Polifro...
ICONIP
2004
13 years 11 months ago
In-vehicle Noise and Enhanced Speech Intelligibility
In-Car speech recognition will be pervasive over the coming years. The goal of speech enhancement is to increase the quality and intelligibility of speech in a noisy environment. T...
Akbar Ghobakhlou, Richard Kilgour