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» Independent component analysis for noisy speech recognition
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98
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IDA
2009
Springer
15 years 8 months ago
Bayesian Robust PCA for Incomplete Data
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
127
Voted
WACV
2005
IEEE
15 years 7 months ago
Integrating Range and Texture Information for 3D Face Recognition
The performance of face recognition systems that use two-dimensional images depends on consistent conditions w.r.t. lighting, pose, and facial appearance. We are developing a face...
Xiaoguang Lu, Anil K. Jain
116
Voted
ICASSP
2010
IEEE
14 years 11 months ago
Phase correction and denoising for ICA of complex FMRI data
Analysis of functional magnetic resonance imaging (fMRI) data in its native, complex form has been shown to increase the sensitivity of the analysis both for data driven technique...
Pedro Rodriguez, Tülay Adali, Hualiang Li, Ni...
121
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IJON
1998
158views more  IJON 1998»
15 years 1 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
ICMI
2009
Springer
138views Biometrics» more  ICMI 2009»
15 years 8 months ago
Dialog in the open world: platform and applications
We review key challenges of developing spoken dialog systems that can engage in interactions with one or multiple participants in relatively unconstrained environments. We outline...
Dan Bohus, Eric Horvitz