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Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations : COMPUTER VISION APPLYING PATTERN RECOGNITION TECHNIQUES

Author
ASTUDILLO, César A1 ; OOMMEN, B. John2
[1] Department of Computer Science, Universidad de Talca, Merced 437 Curicó, Chile
[2] School of Computer Science, Carleton University, Ottawa, K1S 5B6, Canada
Source

Pattern recognition. 2014, Vol 47, Num 1, pp 96-113, 18 p ; ref : 56 ref

CODEN
PTNRA8
ISSN
0031-3203
Scientific domain
Computer science; Telecommunications
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Adaptive data structures Binary search trees Self-organizing maps
Keyword (fr)
Algorithme Arbre binaire Arbre recherche Autoorganisation Besoin de l'utilisateur Carte autoorganisatrice Mise à jour Méthode adaptative Réseau neuronal Structure arborescente Structure donnée Table codage
Keyword (en)
Algorithm Binary tree Search tree Self organization User need Self-organising feature maps Updating Adaptive method Neural network Tree structure Data structure Codebook
Keyword (es)
Algoritmo Arbol binario Arbol investigación Autoorganización Necesidad usuario Actualización Método adaptativo Red neuronal Estructura arborescente Estructura datos Tabla codificación
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
27805424

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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