Journal Article•
Improvement Fisher discriminant analysis method
TL;DR: In this article, the normal distribution function which determined by various ensembles projection value took the sample classification criterion, and forms the multivariate discriminate method, which is superior to Fisher discriminant.
Abstract: Has improved the Fisher discriminant method,its main thought is to change the method of Fisher discriminant taking critical value as criterion,but the normal distribution function which determined by various ensembles projection value took the sample classification criterion,and forms the multivariate discriminate method.The example indicates this method is superior to Fisher discriminant.
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29 Jul 2011
TL;DR: This text used the Coarse Grid and , designed a system to recognize the NaXi Pictograph Digits, and the test have proofed that the method will bring into play a more efficiency.
Abstract: Numeral recognition is an important research realm of the Pattern Recognition, and some researches of ethnological character recognition have already shown a great achievement. However the research of NaXi Pictograph Digits recognition is still placed in a beginning stage, the NaXi Pictograph Digits have special writing method of oneself and characteristics, this text used the Coarse Grid and , designed a system to recognize the NaXi Pictograph Digits, and the test have proofed that the method will bring into play a more efficiency.
3 citations
01 Apr 2018
TL;DR: The experiment proved that Fisher can high efficiency and high precision of classifying seed corn ear detection.
Abstract: The purpose of this paper is to use machine vision to detect the size, shape, texture and color of maize seed ear. The traditional method is very limited and cannot meet the detection efficiency. This paper used logistic regression linear discriminant analysis method, the rule of perceptron, Fisher method and the least-square method, this paper use change between the Fisher criterion according to the the class of discrete degree error matrix and matrix of the discrete degree of reconstruction error in class than the maximum projection direction, classifying clusters. By fusion Fisher discriminant analysis method for testing in the test, through a large number of experiments and comparison method, the experiment proved that Fisher can high efficiency and high precision of classifying seed corn ear detection.