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» An Adaptive Variational Model for Image Decomposition
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PAMI
2010
135views more  PAMI 2010»
14 years 10 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 4 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»
14 years 11 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 13 days 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 3 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