Idiotypic network model for feature extraction in pattern recognition - Effect of diffusion of antibody

Toshiyuki Shimooka, Koichi Shimizu

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

An idiotypic network model using antibodies as partial templates was applied to a pattern recognition problem. A novel network model that contains diffusion of antibodies was proposed. The proposed technique was applied to classification of 33 samples of Chinese characters that have a common sub-structure in the character. With partial template matching they were classified into 12 groups. Using the dynamics of the proposed network, the samples were classified into 18 groups. Through this study, the applicability of the idiotypic network with antibody diffusion to pattern recognition was verified.

Original languageEnglish
Pages (from-to)511-518
Number of pages8
JournalUnknown Journal
Volume2774 PART 2
Publication statusPublished - 2003
Externally publishedYes

Fingerprint

antibodies
Antibody
Antibodies
pattern recognition
Network Model
Feature Extraction
Pattern Recognition
Pattern recognition
Feature extraction
Partial
Template matching
Template Matching
templates
Substructure
Template
Character

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Idiotypic network model for feature extraction in pattern recognition - Effect of diffusion of antibody. / Shimooka, Toshiyuki; Shimizu, Koichi.

In: Unknown Journal, Vol. 2774 PART 2, 2003, p. 511-518.

Research output: Contribution to journalArticle

@article{4d97af5ff21d4c98bf9b92cd571b9e01,
title = "Idiotypic network model for feature extraction in pattern recognition - Effect of diffusion of antibody",
abstract = "An idiotypic network model using antibodies as partial templates was applied to a pattern recognition problem. A novel network model that contains diffusion of antibodies was proposed. The proposed technique was applied to classification of 33 samples of Chinese characters that have a common sub-structure in the character. With partial template matching they were classified into 12 groups. Using the dynamics of the proposed network, the samples were classified into 18 groups. Through this study, the applicability of the idiotypic network with antibody diffusion to pattern recognition was verified.",
author = "Toshiyuki Shimooka and Koichi Shimizu",
year = "2003",
language = "English",
volume = "2774 PART 2",
pages = "511--518",
journal = "Nuclear Physics A",
issn = "0375-9474",
publisher = "Elsevier",

}

TY - JOUR

T1 - Idiotypic network model for feature extraction in pattern recognition - Effect of diffusion of antibody

AU - Shimooka, Toshiyuki

AU - Shimizu, Koichi

PY - 2003

Y1 - 2003

N2 - An idiotypic network model using antibodies as partial templates was applied to a pattern recognition problem. A novel network model that contains diffusion of antibodies was proposed. The proposed technique was applied to classification of 33 samples of Chinese characters that have a common sub-structure in the character. With partial template matching they were classified into 12 groups. Using the dynamics of the proposed network, the samples were classified into 18 groups. Through this study, the applicability of the idiotypic network with antibody diffusion to pattern recognition was verified.

AB - An idiotypic network model using antibodies as partial templates was applied to a pattern recognition problem. A novel network model that contains diffusion of antibodies was proposed. The proposed technique was applied to classification of 33 samples of Chinese characters that have a common sub-structure in the character. With partial template matching they were classified into 12 groups. Using the dynamics of the proposed network, the samples were classified into 18 groups. Through this study, the applicability of the idiotypic network with antibody diffusion to pattern recognition was verified.

UR - http://www.scopus.com/inward/record.url?scp=8344221945&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=8344221945&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:8344221945

VL - 2774 PART 2

SP - 511

EP - 518

JO - Nuclear Physics A

JF - Nuclear Physics A

SN - 0375-9474

ER -