Title :
Mathematical methods for pattern recognition: logic, optimization, algebraic approaches
Author :
Riazanov, V.V. ; Sen´ko, O.V. ; Zhuravlev, Yu.I.
Author_Institution :
Comput. Center, Acad. of Sci., Moscow
Abstract :
The paper is devoted to a brief survey of some new approaches and mathematical methods for solving recognition (supervised classification) problems developed by authors. The methods based on logical approach are first discussed. Next, multiparametric recognition model optimization (training) problems are studied. Finally, a construction of optimal solutions for recognition problems based on a two-level information handling process is presented
Keywords :
formal logic; matrix algebra; optimisation; pattern recognition; algebraic method; formal logic; information handling process; multiparametric recognition model; optimization; pattern recognition; supervised classification; Character recognition; Logic functions; Optimization methods; Pattern recognition;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711278
