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ICIAR
2007
Springer
15 years 11 months ago
Suppression of Noise in Historical Photographs Using a Fuzzy Truncated-Median Filter
To a large extent noise suppression algorithms have been designed to deal with the two most classically defined types of noise: impulsive and Gaussian noise. However digitized imag...
Michael Wirth, Bruce A. Bobier
ICPR
2004
IEEE
16 years 6 months ago
Robust KLT Tracking with Gaussian and Laplacian of Gaussian Weighting Functions
Object tracking algorithms extensively found in literature are either constrained with assumptions or are overly sensitive to noise. We propose and successfully test two new weigh...
Anup Basu, Meghna Singh, Mrinal K. Mandal
NIPS
2004
15 years 7 months ago
Semi-supervised Learning via Gaussian Processes
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
Neil D. Lawrence, Michael I. Jordan
ICASSP
2011
IEEE
14 years 9 months ago
A flexible high-throughput hardware architecture for a gaussian noise generator
In this paper a exible, high-throughput, low-complexity additive white gaussian noise (AWGN) channel generator is presented. The proposed generator employs a Mersenne-Twister to g...
Ioannis Paraskevakos, Vassilis Paliouras
101
Voted
ICASSP
2011
IEEE
14 years 9 months ago
MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations
The paper proposes a modification of the standard maximum a posteriori (MAP) method for the estimation of the parameters of a Gaussian process for cases where the process is supe...
Alexander Krueger, Reinhold Haeb-Umbach