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TSP
2010
14 years 4 months ago
Efficient recursive estimators for a linear, time-varying Gaussian model with general constraints
The adaptive estimation of a time-varying parameter vector in a linear Gaussian model is considered where we a priori know that the parameter vector belongs to a known arbitrary s...
Stefan Uhlich, Bin Yang
MICCAI
2008
Springer
15 years 11 months ago
Customized Design of Hearing Aids Using Statistical Shape Learning
3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient's anatomy. In this paper, we presen...
Gozde B. Unal, Delphine Nain, Gregory G. Slabaug...
ICASSP
2009
IEEE
15 years 4 months ago
A variational EM algorithm for learning eigenvoice parameters in mixed signals
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
Ron J. Weiss, Daniel P. W. Ellis
CDC
2008
IEEE
130views Control Systems» more  CDC 2008»
15 years 4 months ago
Predictor estimation via Gaussian regression
Abstract— A novel nonparametric paradigm to model identification has been recently proposed where, in place of postulating finite-dimensional models of the system transfer func...
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe ...
FGR
2004
IEEE
138views Biometrics» more  FGR 2004»
15 years 1 months ago
Illuminating Light Field: Image-based Face Recognition Across Illuminations and Poses
We present an image-based method for face recognition across different illuminations and different poses, where the term `image-based' means that only 2D images are used and ...
Shaohua Kevin Zhou, Rama Chellappa