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» An Adaptive Variational Model for Image Decomposition
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PAMI
2010
135views more  PAMI 2010»
15 years 3 months ago
A Variational Approach to Degraded Document Enhancement
—The goal of this paper is to correct bleed-through in degraded documents using a variational approach. The variational model is adapted using an estimated background according t...
Reza Farrahi Moghaddam, Mohamed Cheriet
IEEEMSP
2002
IEEE
100views Multimedia» more  IEEEMSP 2002»
15 years 10 months ago
R-D analysis of adaptive edge representations
— This paper presents a Rate-Distortion analysis for a simple horizon edge image model. A quadtree with anisotropy and rotation is performed on this kind of image, giving a toy m...
Rosa M. Figueras i Ventura, Lorenzo Granai, Pierre...
CORR
2002
Springer
106views Education» more  CORR 2002»
15 years 5 months ago
On model selection and the disability of neural networks to decompose tasks
A neural network with fixed topology can be regarded as a parametrization of functions, which decides on the correlations between functional variations when parameters are adapted...
Marc Toussaint
IPMI
2007
Springer
16 years 6 months ago
Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis
Abstract. A new method is introduced for estimating single-trial magnetoor electro-encephalography (M/EEG), based on a non-linear fit of timefrequency atoms. The method can be appl...
Christian Bénar, Maureen Clerc, Théo...
ICASSP
2011
IEEE
14 years 9 months ago
An unsupervised algorithm for hybrid/morphological signal decomposition
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...
Matthieu Kowalski, Thomas Rodet