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» Gaussian processes and limiting linear models
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ICASSP
2009
IEEE
15 years 4 months ago
Lattice-based MLLR for speaker recognition
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
Marc Ferras, Claude Barras, Jean-Luc Gauvain
EOR
2002
73views more  EOR 2002»
14 years 9 months ago
Stochastic conditional and unconditional warfare
This article constructs a foundation for warfare at the individual level, where agents in two groups fire and absorb shots according to a non-stationary Poisson process. We determ...
Kjell Hausken, John F. Moxnes
ICASSP
2011
IEEE
14 years 1 months ago
Random block-angular matrices for distributed data storage
Random binary matrices have found many applications in signal processing and coding. Rateless codes, for example, are based on the random generation of codewords by means of inner...
Paulo Jorge S. G. Ferreira, Bruno Jesus, Jose Viei...
NECO
2011
14 years 4 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
BMCBI
2007
168views more  BMCBI 2007»
14 years 9 months ago
Bayesian model-based inference of transcription factor activity
Background: In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is co...
Simon Rogers, Raya Khanin, Mark Girolami