Detail publikačního výsledku

Advanced Algorithms for Pattern Identification

ŠKORPIL, V.; ŠŤASTNÝ, J.

Originální název

Advanced Algorithms for Pattern Identification

Anglický název

Advanced Algorithms for Pattern Identification

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Pattern Identification

Klíčová slova v angličtině

Pattern Identification

Autoři

ŠKORPIL, V.; ŠŤASTNÝ, J.

Rok RIV

2010

Vydáno

26.10.2008

Nakladatel

Technical University Boejing

Místo

Boejing

ISBN

978-1-4244-2179-4

Kniha

9th International Conference of Signal Processing

Edice

CD

Strany od

1681

Strany do

1684

Strany počet

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"
}