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On Bayes Risk Consistent Pattern Recognition Procedures in a Quasi-Stationary Environment

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1 Author(s)
Leszek Rutkowski ; Department of Electrical Engineering, Technical University of Cz¿stochawa, Cz¿stochowa, Poland.

Van Ryzin and Greblicki showed that pattern recognition procedures derived from orthogonal series estimates of a probability density function are Bayes risk consistent. In this note it is proved that these procedures do not lose-under some additional conditions-their asymptotic properties even if the random environment is nonstationary.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-4 ,  Issue: 1 )