Connections between ICA and sparse coding revisited

Authors:
Susana Hornillo-Mellado;Rubén Martín-Clemente;Juan M. Górriz-Sáez
Affiliations:
Dpto. de Teoría de la Señal y Comunicaciones, Escuela Superior de Ingenieros, Universidad de Sevilla, Sevilla, Spain;Dpto. de Teoría de la Señal y Comunicaciones, Escuela Superior de Ingenieros, Universidad de Sevilla, Sevilla, Spain;Dpto. de Teoría de la Señal, Telemática y Comunicaciones, E.T.S. de Ingeniería Informática, Universidad de Granada, Granada, Spain
Venue:
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Year:
2005

Citing 5
Cited 1

What is the goal of sensory coding?

Neural Computation
A fast fixed-point algorithm for independent component analysis

Neural Computation
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications

Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Application of Independent Component Analysis to Edge Detection and Watermarking

IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
General approach to blind source separation

IEEE Transactions on Signal Processing

Single vs. population cell coding: gaze movement control in target search

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recently, the application of Independent Component Analysis (ICA) to natural images has raised a great interest. Some outstanding features have been observed, like the sparse distribution of the independent components and the special appearance of the ICA bases (most of them look like edges). This paper provides a new insight on this behaviour, being supported by experimental results. In particular, a mathematical proof of the relation between ICA and sparse coding is given.