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» Language model adaptation using Random Forests
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ICASSP
2008
IEEE
14 years 3 months ago
Improved GMM-based language recognition using constrained MLLR transforms
In this paper we describe the application of a feature-space transform based on constrained maximum likelihood linear regression for unsupervised compensation of channel and speak...
Wade Shen, Douglas A. Reynolds
ICIP
1998
IEEE
14 years 1 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli
IJIT
2004
13 years 10 months ago
On proposing a Markup Language for Statecharts to be used in Performance Evaluation
Statecharts have been originally created to specify complex reactive systems for use in simulating real-time applications. They extend state transition diagrams with notons of hier...
A. S. M. S. Amaral, R. R. Veloso, Nandamudi Lankal...
ESORICS
2009
Springer
14 years 9 months ago
Formal Indistinguishability Extended to the Random Oracle Model
Abstract. Several generic constructions for transforming one-way functions to asymmetric encryption schemes have been proposed. One-way functions only guarantee the weak secrecy of...
Cristian Ene, Yassine Lakhnech, Van Chan Ngo
SAC
2006
ACM
14 years 2 months ago
Evaluation of rule-based modularization in model transformation languages illustrated with ATL
This paper studies ways for modularizing transformation definitions in current rule-based model transformation languages. Two scenarios are shown in which the modular units are id...
Ivan Kurtev, Klaas van den Berg, Fréd&eacut...