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Recognition of graphic patterns: Part IA description of the process of recognition of graphic objects in real-time systems is considered
Dimensionality reduction for pattern recognition systemDimensionality reduction for pattern recognition system
“Pattern recognition and information processing”: 30 years and 15 conferences and
processes. This direction is called “Pattern Recognition”.
The first applications were devoted
On principles of constructing a specimen in systems for recognizing graphical patternsA method for representing a specimen employed for recognizing graphical patterns that contains data
Numerical aspects of statistical pattern recognitionThe paper presents numerical restrictions of Bayesian method to a pattern recognition. The maximum
Pattern Recognition Based on Classes Distinctive FeaturesIn pattern recognition, the approach where Supervised Learning is reduced to the construction
Pattern Recognition SystemPattern Recognition System
Pattern Recognition and Information Processing (PRIP'2021)The Proceedings include papers of the 15th International Conference on Pattern Recognition
The methodic of test the time dependence output on the quality of the source data in the pattern recognition systemThere is no single methodology for comparing algorithms for testing recognition quality
Stochastic Recurrent Implementation of Local Recognition Algorithms.Stochastic Recurrent Implementation of Local Recognition Algorithms.
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