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
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201855
