Pattern recognition in interrelated data: the problem, fundamental ...
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As an adjunct to the classical pattern recognition theory dealing with single objects, a new approach to supervised pattern recognition is proposed for a ...
Pattern Recognition in Interrelated Data: The Problem, Fundamental Assumptions, Recognition Algorithms. Vadim Mottl. Scientific Council “Cybernetics”. Vavilov ...
Pattern recognition in interrelated data: The problem, fundamental assumptions, recognition algorithms. September 2004. 1:188 - 191 Vol.1. DOI:10.1109/ICPR ...
Pattern Recognition in Interrelated Data: The Problem, Fundamental Assumptions, Recognition Algorithms. Authors: Vadim Mottl. Vadim Mottl. Scientific Council ...
Pattern recognition in interrelated data: the problem, fundamental assumptions, recognition algorithms. Mottl V., Dvoenko S., Kopylov A. Expand. Publication ...
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The objective of this review paper is to summarize and compare some of the well-known methods used in various stages of a pattern recognition system and ...
Pattern Recognition in Interrelated Data: The Problem, Fundamental Assumptions, Recognition Algorithms pp. 188-191. Type-2 Fuzzy Hidden Markov Models to ...
Pattern recognition in interrelated data: the problem, fundamental assumptions, recognition algorithms. V Mottl, S Dvoenko, A Kopylov. Proceedings of the 17th ...
The Problem of Pattern Recognition in Arrays of Interconnected Objects. Statement of the Recognition Problem and Basic Assumptions · Multiple Subclass Pattern ...
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This chapter introduces pattern recognition as the scientific discipline with the goal of classification of objects into a number of categories or classes. The ...