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» Function factorization using warped Gaussian processes
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DCC
2008
IEEE
15 years 10 months ago
Rate-Distortion Functions for Nonstationary Gaussian Autoregressive Processes
Source coding theorems and Shannon rate-distortion functions were studied for the discrete-time Wiener process by Berger and generalized to nonstationary Gaussian autoregressive p...
Robert M. Gray, Takeshi Hashimoto
NIPS
2003
15 years 12 days ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
TIT
2008
84views more  TIT 2008»
14 years 9 months ago
A Note on Rate-Distortion Functions for Nonstationary Gaussian Autoregressive Processes
Source coding theorems and Shannon rate-distortion functions were studied for the discrete-time Wiener process by Berger and generalized to nonstationary Gaussian autoregressive p...
Robert M. Gray, Takeshi Hashimoto
ICASSP
2011
IEEE
14 years 2 months ago
A Bernoulli-Gaussian model for gene factor analysis
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tournere...
ICASSP
2008
IEEE
15 years 5 months ago
Fast speaker adaptation using non-negative matrix factorization
This paper describes a new method for fast speaker adaptation in large vocabulary recognition systems. As in most HMM-based recognizers, the observation densities are modeled as a...
Jacques Duchateau, Tobias Leroy, Kris Demuynck, Hu...