The Fisher Information as a Neural Guiding Principle for Independent Component Analysis

Author： Echeveste Rodrigo   Eckmann Samuel   Gros Claudius  

Publisher： MDPI

E-ISSN： 1099-4300|17|6|3838-3856

ISSN： 1099-4300

Source： Entropy, Vol.17, Iss.6, 2015-06, pp. : 3838-3856

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Electronic Nose Based on Independent Component Analysis Combined with Partial Least Squares and Artificial Neural Networks for Wine Prediction

By Aguilera Teodoro   Lozano Jesús   Paredes José A.   Álvarez Fernando J.   Suárez José I.  

Sensors, Vol. 12, Iss. 6, 2012-06 ,pp. : 8055-8072

MDPI

Access to resources Recommend Favorite

An Assessment of Hermite Function Based Approximations of Mutual Information Applied to Independent Component Analysis

By Sorensen Julian  

Entropy, Vol. 10, Iss. 4, 2008-12 ,pp. : 745-756

MDPI

Access to resources Recommend Favorite

Wavelet q-Fisher Information for Scaling Signal Analysis

By Ramírez-Pacheco Julio   Torres-Román Deni   Argaez-Xool Jesús   Rizo-Dominguez Luis   Trejo-Sanchez Joel   Manzano-Pinzón Francisco  

Entropy, Vol. 14, Iss. 8, 2012-08 ,pp. : 1478-1500

MDPI

Access to resources Recommend Favorite

Background Subtraction Approach based on Independent Component Analysis

By Jiménez-Hernández Hugo  

Sensors, Vol. 10, Iss. 6, 2010-06 ,pp. : 6092-6114

MDPI

Access to resources Recommend Favorite

A Multi-Fault Diagnosis Method for Sensor Systems Based on Principle Component Analysis

By Zhu Daqi   Bai Jie   Yang Simon X.  

Sensors, Vol. 10, Iss. 1, 2009-12 ,pp. : 241-253

MDPI

Access to resources Recommend Favorite