About New Pattern Recognition Method for the Universal Program System “Recognition”


Autoria(s): Dokukin, Alexander; Senko, Oleg
Data(s)

28/12/2009

28/12/2009

2004

Resumo

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.

Identificador

1313-0463

http://hdl.handle.net/10525/893

Idioma(s)

en

Publicador

Institute of Information Theories and Applications FOI ITHEA

Palavras-Chave #Pattern Recognition #Statistically Weighted Regularities #Voting Procedure
Tipo

Article