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» Introduction to Randomized Algorithms
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ICIP
2000
IEEE
16 years 8 months ago
Maximum Entropy Image Restoration Revisited
This paper presents a new non-iterative, closed-form approximation to the maximum entropy (M.E.) image restoration method. A fast frequency domain implementation of this closed fo...
Matthew Willis, Brian D. Jeffs, David G. Long
ICIP
1998
IEEE
16 years 8 months ago
Lip Features Automatic Extraction
An algorithm for speaker's lip segmentation and features extraction is presented in this paper. A color video sequence of speaker's face is acquired, under natural light...
Franck Luthon, Marc Liévin
175
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ICPR
2002
IEEE
16 years 7 months ago
A General Multichannel Image Restoration Method Using Compound Models
In this paper we present a multichannel image restoration method using Compound Gauss Markov Random Field (CGMRF) models. Information regarding the objects present in the scene is...
Rafael Molina, Javier Mateos, Aggelos K. Katsaggel...
ICML
2002
IEEE
16 years 7 months ago
On generalization bounds, projection profile, and margin distribution
We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...
Ashutosh Garg, Sariel Har-Peled, Dan Roth
ICPR
2010
IEEE
16 years 1 months ago
Statistical Shape Modeling using Morphological Representations
The aim of this paper is to propose tools for statistical analysis of shape families using morphological operators. Given a series of shape families (or shape categories), the appr...
S. Velasco-Forero and J. Angulo