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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/893

Title: About New Pattern Recognition Method for the Universal Program System “Recognition”
Authors: Dokukin, Alexander
Senko, Oleg
Keywords: Pattern Recognition
Statistically Weighted Regularities
Voting Procedure
Issue Date: 2004
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: In this work the new pattern recognition method based on the unification of algebraic and statistical approaches is described. The main point of the method is the voting procedure upon the statistically weighted regularities, which are linear separators in two-dimensional projections of feature space. The report contains brief description of the theoretical foundations of the method, description of its software realization and the results of series of experiments proving its usefulness in practical tasks.
URI: http://hdl.handle.net/10525/893
ISSN: 1313-0463
Appears in Collections:Volume 11 Number 4

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