General Pattern Theory: A Mathematical Study of Regular Structures (Oxford Mathematical Monographs). Cet article n’est pas disponible.
Langue : anglais
Edité par Clarendon Press, 1993
- Éd. originale
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A propos de cet article
Type: Book Small plain label inside cover.
N° de réf. du vendeur 052067
- Titre
- General Pattern Theory: A Mathematical Study of Regular Structures (Oxford Mathematical Monographs)
- Auteur
- Ulf Grenander
- Éditeur
- Clarendon Press
- Année de publication
- 1993
- État de l'article
- Very Good
- Jaquette
- No d/j as Published
- Reliure
- Cloth
- Langue
- anglais
- ISBN à 10 chiffres
- 0198536712
- ISBN à 13 chiffres
- 9780198536710
- Édition
- First Edition.
- Poids de l'article
- 70 onces
- Dimensions
- 4to - over 9¾" - 12" tall
- Catalogues du vendeur
- MATHEMATICS
The aim of pattern theory is to create mathematical knowledge representations of complex systems, analyze the mathematical properties of the resulting regular structures, and to apply them to practically occurring patterns in nature and the man-made world. Starting from an algebraic formulation of such representations they are studied in terms of their topological, dynamical and probabilistic aspects. Patterns are expressed through their typical behavior as well as through their variability around their typical form. Employing the representations (regular structures) algorithms are derived for the understanding, recognition, and restoration of observed patterns. The algorithms are investigated through computer experiments. The book is intended for statisticians and mathematicians with an interest in image analysis and pattern theory.
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
Présentation de l'éditeur
The aim of pattern theory is to create mathematical knowledge representations of complex systems, analyse the mathematical properties of the resulting regular structures, and to apply them to practically occuring patterns in nature and the man-made world. Starting from an algebraic formulation of such representations they are studied in terms of their topological, dynamical and probabilistic aspects. Patterns are expressed through their typical behaviour as well as through their variability around their typical form. Employing the representations (regular structures) algorithms are derived for the understanding, recognition, and restoration of observed patterns. The algorithms are investigated through computer experiments.
« A propos de ce titre » peut appartenir à une autre édition de cet ouvrage.
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