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» Polynomial Conditional Random Fields for Signal Processing
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ICIP
2006
IEEE
14 years 9 months ago
Distributed Acquisition and Image Super-Resolution Based on Continuous Moments from Samples
Recently, new sampling schemes were presented for signals with finite rate of innovation (FRI) using sampling kernels reproducing polynomials or exponentials [1] [2]. In this pape...
Loïc Baboulaz, Pier Luigi Dragotti
ICIP
2006
IEEE
14 years 9 months ago
Exact Local Reconstruction Algorithms for Signals with Finite Rate of Innovation
Consider the problem of sampling signals which are not bandlimited, but still have a finite number of degrees of freedom per unit of time, such as, for example, piecewise polynomi...
Pier Luigi Dragotti, Martin Vetterli, Thierry Blu
ICASSP
2008
IEEE
14 years 2 months ago
Maximum likelihood approach to speech enhancement for noisy reverberant signals
This paper proposes a speech enhancement method for signals contaminated by room reverberation and additive background noise. The following conditions are assumed: (1) The spectra...
Takuya Yoshioka, Tomohiro Nakatani, Takafumi Hikic...
ICASSP
2008
IEEE
14 years 2 months ago
A GIS-like training algorithm for log-linear models with hidden variables
Conditional Random Fields (CRFs) are often estimated using an entropy based criterion in combination with Generalized Iterative Scaling (GIS). GIS offers, upon others, the immedi...
Georg Heigold, Thomas Deselaers, Ralf Schlüte...
ICASSP
2011
IEEE
12 years 11 months ago
Combination of stochastic understanding and machine translation systems for language portability of dialogue systems
In this paper, several approaches for language portability of dialogue systems are investigated with a focus on the spoken language understanding (SLU) component. We show that the...
Bassam Jabaian, Laurent Besacier, Fabrice Lefevre