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109
Voted
ALT
2000
Springer
15 years 9 months ago
On the Noise Model of Support Vector Machines Regression
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Massimiliano Pontil, Sayan Mukherjee, Federico Gir...
88
Voted
ICASSP
2009
IEEE
15 years 7 months ago
TDOA estimation for cyclostationary sources: New correlations-based bounds and estimators
We consider the problem of Time Difference of Arrival (TDOA) estimation for cyclostationary signals in additive white Gaussian noise. Classical approaches to the problem either ig...
Moshe Teplitsky, Arie Yeredor
122
Voted
IJCNN
2006
IEEE
15 years 6 months ago
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
Yiwen Wang 0002, António R. C. Paiva, Jose ...
ICIP
2005
IEEE
15 years 6 months ago
Two-step variance-adaptive image denoising
Abstract— In this paper, we describe a two-step varianceadaptive method for image denoising based on a statistical model of the coefficients of balanced multiwavelet transform. ...
Lahouari Ghouti, Ahmed Bouridane
CVPR
2008
IEEE
15 years 29 days ago
A similarity measure between unordered vector sets with application to image categorization
We present a novel approach to compute the similarity between two unordered variable-sized vector sets. To solve this problem, several authors have proposed to model each vector s...
Yan Liu, Florent Perronnin