The Optimal Feature Extraction Procedure for Statistical Pattern Recognition
- Author
- KURZYNSKI, Marek1 ; PUCHALA, Edward1
[1] Wroclaw University of Technology, Faculty of Electronics, Chair of Systems and Computer Networks, Wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland - Conference title
- Computational science and its applications (Part I-V : ICCSA 2006 : international conference, Glasgow, UK, May 8-11, 2006 : proceedings)
- Conference name
- International Conference on Computational Science and its Applications (Glasgow 2006)
- Source
Lecture notes in computer science. 2006, pp 1210-1215, 6 p ; ref : 7 ref
- ISSN
- 0302-9743
- ISBN
- 3-540-34070-X
- Scientific domain
- Information and communication sciences; Computer science; Telecommunications
- Publisher
- Springer, Berlin
/
Springer, New York
- Publication country
- Germany
- Document type
- Conference Paper
- Language
- English
- Keyword (fr)
- Analyse statistique Approche probabiliste Classification Extraction caractéristique Extraction forme Modélisation Reconnaissance forme Reconnaissance objet Vision ordinateur
- Keyword (en)
- Statistical analysis Probabilistic approach Classification Feature extraction Pattern extraction Modeling Pattern recognition Object recognition Computer vision
- Keyword (es)
- Análisis estadístico Enfoque probabilista Clasificación Extracción forma Modelización Reconocimiento patrón Visión ordenador
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A05 Algorithmics. Computability. Computer arithmetics
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19968592
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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DOI
10.1007/11751595_127 
https://dx.doi.org/10.1007/11751595_127
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