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ICDAR
2007
IEEE
14 years 2 months ago
Skeletonization by Gradient Regularization and Diffusion
This paper describes a skeletonization process for grayscale or color images based on the diffusion of the color gradient vectors by using a simple iterative regularization scheme...
Frank Lebourgeois, Hubert Emptoz
CGF
2011
12 years 11 months ago
Estimating Color and Texture Parameters for Vector Graphics
Diffusion curves are a powerful vector graphic representation that stores an image as a set of 2D Bezier curves with colors defined on either side. These colors are diffused over...
Stefan Jeschke, David Cline, Peter Wonka
TNN
2008
142views more  TNN 2008»
13 years 7 months ago
Multiclass Posterior Probability Support Vector Machines
Abstract--Tao et al. have recently proposed the posterior probability support vector machine (PPSVM) which uses soft labels derived from estimated posterior probabilities to be mor...
Mehmet Gönen, Ayse Gönül Tanugur, E...
ML
2002
ACM
220views Machine Learning» more  ML 2002»
13 years 7 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
CIMCA
2005
IEEE
14 years 1 months ago
Automatic Sleep Staging using Support Vector Machines with Posterior Probability Estimates
This paper describes attempts at constructing an automatic sleep stage classifier using EEG recordings. Three different feature extraction schemes were compared together with two...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...