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Probl. Peredachi Inf., 1983, Volume 19, Issue 3, Pages 68–77 (Mi ppi1189)  

Automata Theory and Pattern Recognition

On Selection of Features in Pattern Recognition

G. P. Tartakovskii, N. A. Ivanchuk


Abstract: For the case of complete a priori information, a procedure is found for selecting a combination of independent features in two formulations. In the first formulation, the minimum number of features ensures a specified risk level in pattern recognition; in the second formulation, the average risk is minimized by selecting an array of features, with allowance for the cost of obtaining and of processing the features. An example of feature selection is given for the case of two-alternative recognition.

Full text: PDF file (887 kB)

English version:
Problems of Information Transmission, 1983, 19:3, 227–234

Bibliographic databases:

UDC: 621.391.193:62-507
Received: 15.04.1981

Citation: G. P. Tartakovskii, N. A. Ivanchuk, “On Selection of Features in Pattern Recognition”, Probl. Peredachi Inf., 19:3 (1983), 68–77; Problems Inform. Transmission, 19:3 (1983), 227–234

Citation in format AMSBIB
\Bibitem{TarIva83}
\by G.~P.~Tartakovskii, N.~A.~Ivanchuk
\paper On Selection of Features in Pattern Recognition
\jour Probl. Peredachi Inf.
\yr 1983
\vol 19
\issue 3
\pages 68--77
\mathnet{http://mi.mathnet.ru/ppi1189}
\mathscinet{http://www.ams.org/mathscinet-getitem?mr=754682}
\zmath{https://zbmath.org/?q=an:0534.68063}
\transl
\jour Problems Inform. Transmission
\yr 1983
\vol 19
\issue 3
\pages 227--234


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