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WSC
2001
15 years 6 months ago
Accounting for input model and parameter uncertainty in simulation
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
Faker Zouaoui, James R. Wilson
150
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ICASSP
2011
IEEE
14 years 8 months ago
A basis method for robust estimation of constrained MLLR
Constrained Maximum Likelihood Linear Regression (CMLLR) is a widely used speaker adaptation technique in which an affine transform of the features is estimated for each speaker....
Daniel Povey, Kaisheng Yao
ICASSP
2008
IEEE
15 years 11 months ago
Irrelevant variability normalization based HMM training using map estimation of feature transforms for robust speech recognition
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...
Donglai Zhu, Qiang Huo
BMCBI
2011
14 years 8 months ago
Estimation of allele frequency and association mapping using next-generation sequencing data
Background: Estimation of allele frequency is of fundamental importance in population genetic analyses and in association mapping. In most studies using next-generation sequencing...
Su Yeon Kim, Kirk E. Lohmueller, Anders Albrechtse...
AICT
2006
IEEE
129views Communications» more  AICT 2006»
15 years 8 months ago
Stochastic Thresholding: An approach to Estimator Optimization via Fisher Information Maximization
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Samudra Dasgupta