Avoiding peaking phenomenon of the quadratic discriminant function
F Kimura, K Takashina, S Tsuruoka… - Systems and computers …, 1987 - Wiley Online Library
The performance of the discriminant function is degraded if the parameters used contain
estimation errors. A peaking phenomenon is known in which the classification rate reaches
the maximum for a certain feature dimension, but decreases with the further increase of the
feature dimension. This paper reports the result of experimental examination of the relations
of the classification rates of the Euclid distance, the quadratic discriminant function [1] to the
feature dimension. It is shown that the modified quadratic discriminant function corresponds …
estimation errors. A peaking phenomenon is known in which the classification rate reaches
the maximum for a certain feature dimension, but decreases with the further increase of the
feature dimension. This paper reports the result of experimental examination of the relations
of the classification rates of the Euclid distance, the quadratic discriminant function [1] to the
feature dimension. It is shown that the modified quadratic discriminant function corresponds …
[CITATION][C] On avoiding peaking phenomenon of the quadratic discriminant function, 8th Int. Conf
F Kimura, S Tsuruoka, Y Miyake - Pattern Recognition
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