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108
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Factor analysis based VTS and JUD noise estimation and compensation
Model based compensation schemes are a powerful approach for noise robust speech recognition. Recently there have been a number of investigations into adaptive training, and estim...
Federico Flego, Mark John Francis Gales
95
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Detection of elliptical particles in atomic force microscopy images
In this paper we describe a method for detection and measurement of elliptical particles in atomic force microscopy (AFM) images. AFM imaging is used in physics to scan surfaces; ...
Jirí Sedlár, Barbara Zitová, ...
111
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Maximum a posteriori based regularization parameter selection
The 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still...
Ashkan Panahi, Mats Viberg
100
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Finding curves in SAR CCD images
This paper introduces a pattern recognition and computer vision approach to mitigating false alarms in synthetic aperture radar (SAR) coherence change detection (CCD) images. In t...
Miriam Cha, Rhonda Phillips, Michael Yee
ICASSP
2011
IEEE
14 years 4 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang