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{ "Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two multivariate normal distributions with differrentia covariance matrices. Anals of Mathematical Statistics, 33:420--431, Ju

FACE RECOGNITION SYSTEM 2.1 In order to obtain the complete source code please visit http://www.advancedsourcecode.com/face.asp Copy all files in Matlab current directory and type "

%FACE RECOGNITION SYSTEM % % Face recognition system based on EigenFaces Method and Karhunen-Loeve algorithm % The system functions by projecting face images onto a feature space % that spans the

function [PP, CP]=setParam % setParam: 砞﹚ pitch tracking ㎝ melody recognition

References [Anderson62] T.W.Anderson and R.R.Bahadur. Classification into two multivariate normal distributions with differrentia covariance mat

{ "Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two multivariate normal distributions with differrentia covariance matrices. Anals of Mathematical Statistics, 33:420--431, Ju

References [Anderson62] T.W.Anderson and R.R.Bahadur. Classification into two multivariate normal distributions with differrentia covariance mat

{ "Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two multivariate normal distributions with differrentia covariance matrices. Anals of Mathematical Statistics, 33:420--431, Ju

By considering plots and the importants of attributes 4 features were extracted from 8 attributes. Features are; mit Score of discriminant analysis of the amino acid content of the N-te

References [Anderson62] T.W.Anderson and R.R.Bahadur. Classification into two multivariate normal distributions with differrentia covariance mat