Publication result detail

Advanced Algorithms for Pattern Identification

ŠKORPIL, V.; ŠŤASTNÝ, J.

Original Title

Advanced Algorithms for Pattern Identification

English Title

Advanced Algorithms for Pattern Identification

Type

Paper in proceedings (conference paper)

Original Abstract

Three advanced algorithms for pattern identification are compared in this paper. They are for identification with the aid of the momentum, identification with the aid of syntactic analysis and identification with the aid of neural network algorithm with back-propagation. Pattern identification consists in sorting objects into classes. Class is a subset of objects whose elements have common features from the classification standpoint. Object has a physical character, which in computer vision is most frequently taken to mean a part of segmented image.

English abstract

Three advanced algorithms for pattern identification are compared in this paper. They are for identification with the aid of the momentum, identification with the aid of syntactic analysis and identification with the aid of neural network algorithm with back-propagation. Pattern identification consists in sorting objects into classes. Class is a subset of objects whose elements have common features from the classification standpoint. Object has a physical character, which in computer vision is most frequently taken to mean a part of segmented image.

Keywords

Pattern Identification

Key words in English

Pattern Identification

Authors

ŠKORPIL, V.; ŠŤASTNÝ, J.

RIV year

2010

Released

26.10.2008

Publisher

Technical University Boejing

Location

Boejing

ISBN

978-1-4244-2179-4

Book

9th International Conference of Signal Processing

Edition

CD

Pages from

1681

Pages to

1684

Pages count

4

BibTex

@inproceedings{BUT29862,
  author="Vladislav {Škorpil} and Jiří {Šťastný}",
  title="Advanced Algorithms for Pattern Identification",
  booktitle="9th International Conference of Signal Processing",
  year="2008",
  series="CD",
  number="1",
  pages="1681--1684",
  publisher="Technical University Boejing",
  address="Boejing",
  isbn="978-1-4244-2179-4"
}