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» Modeling non-gaussian noise for robust image analysis
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DAGM
2008
Springer
13 years 9 months ago
Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition
Performance of speech recognition systems strongly degrades in the presence of background noise, like the driving noise in the interior of a car. We compare two different Kalman fi...
Björn Schuller, Martin Wöllmer, Tobias M...
ICDAR
2011
IEEE
12 years 7 months ago
Chromatic / Achromatic Separation in Noisy Document Images
—This paper presents a new method to split an image into chromatic and achromatic zones. The proposed algorithm is dedicated to document images. It is robust to the color noise i...
Asma Ouji, Yann Leydier, Frank Lebourgeois
ICASSP
2008
IEEE
14 years 2 months ago
Robust correlation analysis with an application to functional MRI
Correlation is often used to measure the similarity between signals and is an important tool in signal and image processing. In some applications it is common that signals are cor...
Joakim Rydell, Magnus Borga, Hans Knutsson
ICRA
2002
IEEE
104views Robotics» more  ICRA 2002»
14 years 14 days ago
Improbability Filtering for Rejecting False Positives
—In this paper we describe a novel approach, called improbability filtering, to rejecting false-positive observations from degrading the tracking performance of an Extended Kalma...
Brett Browning, Michael H. Bowling, Manuela M. Vel...
ICCV
2007
IEEE
14 years 1 months ago
A Multi-Image Restoration Method for Image Reconstruction from Projections
in Proc. IEEE Int’l Conf. on Computer Vision (ICCV), October, 2007 Traditional Bayesian restoration methods depend heavily on the accuracy of underlying generative models. For t...
Yunqiang Chen, Lin Cheng, Tong Fang, Rainer Raupac...