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ICASSP
2011
IEEE
13 years 14 days ago
Estimation and dynamic updating of time-varying signals with sparse variations
This paper presents an algorithm for an 1-regularized Kalman filter. Given observations of a discrete-time linear dynamical system with sparse errors in the state evolution, we e...
Muhammad Salman Asif, Adam Charles, Justin K. Romb...
NIPS
2004
13 years 10 months ago
Unsupervised Variational Bayesian Learning of Nonlinear Models
In this paper we present a framework for using multi-layer perceptron (MLP) networks in nonlinear generative models trained by variational Bayesian learning. The nonlinearity is h...
Antti Honkela, Harri Valpola
ICASSP
2010
IEEE
13 years 9 months ago
Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation
In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as wel...
Martin Luessi, S. Derin Babacan, Rafael Molina, Ja...
ICASSP
2011
IEEE
13 years 14 days ago
Allophonic variations in visual speech synthesis for corrective feedback in CAPT
—This paper presents a visual speech synthesizer providing midsagittal and front views of the vocal tract to help language learners to correct their mispronunciations. We adopt ...
Ka-Ho Wong, Wai-Kit Lo, Helen Meng
IJAR
2010
139views more  IJAR 2010»
13 years 6 months ago
Imprecise expectations for imprecise linear filtering
In the last 10 years, there has been increasing interest in interval valued data in signal processing. According to the conventional view, an interval value supposedly reflects th...
Agnès Rico, Olivier Strauss