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Basis Identification from Random Sparse Samples

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

minimisation. The problem is to identify a dictionary

\dico

from a set of training samples

\Y

knowing that

\Y = \dico \X

...

2009

Carte autoadaptative

Graph Chatbot

Chattez avec Graph Search

Beltrami-Flow to Generate a Scale-Space of Cortical Feature Maps on the Sphere.

Attention operates on non-retinotopic feature maps in visual search

Methodology for traffic risks identification

Hardware Implementation Issues of the Neighborhood Mechanism in Kohonen Self Organized Feature Maps

Basis Identification from Random Sparse Samples

Generating probabilistic path observation from GPS data for route choice modeling

A method of probabilistic map distribution of path likelihood

Self-Similar Random Vector Fields and Their Wavelet Analysis

SOM-based Clustering of Multilingual Documents Using an Ontology

CMOS programmable asynchronous neighborhood mechanism for WTM kohonen neural network

Self-Similar Random Vector Fields and Their Wavelet Analysis

Methodology for traffic risks identification

Beltrami-Flow to Generate a Scale-Space of Cortical Feature Maps on the Sphere.

Basis Identification from Random Sparse Samples

Generating probabilistic path observation from GPS data for route choice modeling

A method of probabilistic map distribution of path likelihood

SOM-based Clustering of Multilingual Documents Using an Ontology

Attention operates on non-retinotopic feature maps in visual search

Hardware Implementation Issues of the Neighborhood Mechanism in Kohonen Self Organized Feature Maps

CMOS programmable asynchronous neighborhood mechanism for WTM kohonen neural network