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Descent Algorithms on Oblique Manifold for Source-Adaptive ICA Contrast

Author
SELVAN, Suviseshamuthu Easter1 ; AMATO, Umberto2 ; GALLIVAN, Kyle A3 ; CHUNHONG QI3 ; CARFORA, Maria Francesca2 ; LAROBINA, Michele4 ; ALFANO, Bruno4
[1] Department of Mathematical Engineering, Université catholique de Louvain, Louvain-la-Neuve 1348, Belgium
[2] Istituto per le Applicazioni del Calcolo Mauro Picone-Sede di Napoli, Consiglio Nazionale delle Ricerche, Naples 80131, Italy
[3] Department of Mathematics, Florida State University, Tallahassee, FL 32306, United States
[4] Istituto di Biostrutture e Bioimmagini, Consiglio Nazionale delle Ricerche, Naples 80131, Italy
Source

IEEE transactions on neural networks and learning systems (Print). 2012, Vol 23, Num 12, pp 1930-1947, 18 p ; ref : 91 ref

ISSN
2162-237X
Scientific domain
Cognition; Electronics; Computer science; Psychology, psychopathology, psychiatry
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Conjugate gradient Parzen window oblique manifold quasi-Newton retraction steepest descent vector transport
Keyword (fr)
Ajustement modèle Analyse composante indépendante Analyse image Analyse signal Descente gradient Fonction source Information mutuelle Mise à jour Méthode adaptative Méthode gradient conjugué Méthode plus grande pente Méthode quasi Newton Optimisation Source information Séparation aveugle Séparation source Théorie euclidienne Traitement image Traitement signal Variété Riemann Variété mathématique Scène naturelle Transformation de Gauss rapide
Keyword (en)
Model matching Independent component analysis Image analysis Signal analysis Gradient descent Source function Mutual information Updating Adaptive method Conjugate gradient method Steepest descent method Quasi Newton method Optimization Information source Blind separation Source separation Euclidean theory Image processing Signal processing Riemann manifold Manifold Natural scenes Fast Gauss Transform
Keyword (es)
Ajustamiento modelo Analisis componente independiente Análisis imagen Análisis de señal Gradient bajada Función fuente Información mutual Actualización Método adaptativo Método gradiente conjugado Método más grande inclinación Método cuasi Newton Optimización Fuente información Separación ciega Separación señal Teoría euclidiana Procesamiento imagen Procesamiento señal Variedad Riemann Variedad matemática Escena natural Transformación de Gauss rápida
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A2 Detection, estimation, filtering, equalization, prediction

Discipline
Computer science : theoretical automation and systems Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
26762363

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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