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» Some Notes on Models and Modelling
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117
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INTERSPEECH
2010
14 years 10 months ago
Can tongue be recovered from face? the answer of data-driven statistical models
This study revisits the face-to-tongue articulatory inversion problem in speech. We compare the Multi Linear Regression method (MLR) with two more sophisticated methods based on H...
Atef Ben Youssef, Pierre Badin, Gérard Bail...
109
Voted
INTERSPEECH
2010
14 years 10 months ago
A spectral LF model based approach to voice source parameterisation
This paper presents a new method of extracting LF model based parameters using a spectral model matching approach. Strategies are described for overcoming some of the known diffic...
John Kane, Mark Kane, Christer Gobl
130
Voted
JDCTA
2010
169views more  JDCTA 2010»
14 years 10 months ago
A Synchronization Algorithm of MRI Denoising and Contrast Enhancement Based on PM-CLAHE Model
On clinical applications, many magnetic resonance (MR) Images obtained directly by the instruments are not satisfied by doctors. For example, there are some noises and poor contra...
Di Jia, Fangfang Han, Jinzhu Yang, Yifei Zhang, Da...
JMLR
2010
150views more  JMLR 2010»
14 years 10 months ago
Supervised Dimension Reduction Using Bayesian Mixture Modeling
We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...
Kai Mao, Feng Liang, Sayan Mukherjee
125
Voted
CVPR
1999
IEEE
16 years 6 months ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren