DocumentCode
3059761
Title
Algorithms of the multiperspective pattern recognition
Author
Kurzynski, Marek W. ; Puchala, Edward
Author_Institution
Inst. of Control & Syst. Eng., Tech. Univ. of Wroclaw, Poland
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
627
Lastpage
630
Abstract
Deals with a situation in which an object undergoes several classification tasks. Three optimal (Bayes) recognition algorithms are derived which state solutions of different optimization problems. The case of recognition with learning is considered and results of experimental investigations are presented The primary results are illustrated by simple example
Keywords
Bayes methods; feature extraction; pattern recognition; classification tasks; learning; multiperspective pattern recognition; optimal Bayes recognition algorithms; optimization problems; Classification algorithms; Control systems; Diseases; Medical treatment; Minimization methods; Pattern recognition; Probability density function; Random variables;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2915-0
Type
conf
DOI
10.1109/ICPR.1992.201855
Filename
201855
Link To Document