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, AlexanderSenko, Oleg Keywords: Pattern RecognitionStatistically Weighted RegularitiesVoting 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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