Mathematical methods for pattern recognition: logic, optimization, algebraic approaches

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) problem...

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Bibliographic Details
Main Authors: Riazanov, V.V., Sen'ko, O.V., Zhuravlev, Yu.I.
Format: Conference Proceeding
Language:English
Subjects:
Character recognition
Logic functions
Optimization methods
Pattern recognition
Online Access:Request full text
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Summary: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.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.1998.711278