DocumentCode
3174090
Title
Robustness in statistical pattern recognition under “contaminations” of training samples
Author
Kharin, Yu. ; Zhuk, E.
Author_Institution
Dept. of Math. Modeling & Data Anal., Belarusian State Univ., Minsk, Russia
Volume
2
fYear
1994
fDate
9-13 Oct 1994
Firstpage
504
Abstract
The problems of synthesis and analysis of statistical pattern recognition algorithms are considered for the situations, when traditional model assumptions about training samples are disturbed. The estimates of robustness measures for classical decision rules and new robust decision rules are constructed for the case of “contaminated” training samples
Keywords
statistical analysis; algorithm analysis; algorithm synthesis; contaminated training samples; robustness measures; statistical pattern recognition robustness; Algorithm design and analysis; Bayesian methods; Contamination; Loss measurement; Pattern analysis; Pattern recognition; Pollution measurement; Robust stability; Robustness; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location
Jerusalem
Print_ISBN
0-8186-6270-0
Type
conf
DOI
10.1109/ICPR.1994.576996
Filename
576996
Link To Document