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Recognition 的代码
test.m
function test(testdir, n, code)
% Speaker Recognition: Testing Stage
%
% Input:
% testdir : string name of directory contains all test sound files
% n : number of test files in testd
knnrloo.m
function [recogRate, computed, nearestIndex] = knnrLoo(DS, param, plotOpt)
%knnrLoo: Leave-one-out recognition rate of KNNR
% Usage: [recogRate, computed, nearestIndex] = knnrLoo(DS, param, plotOpt)
recog_test_nfold.m
% Test the performance of behavior recognition using cross validation.
%
% Training occurs on all but (n-1) of the sets and testing on the remaining one, giving a
% total of (n) training/testing scena
recog_test.m
% Test the performance of behavior recognition using the cuboid representation.
%
% Given n sets of data, each containing multiple data instances, we train on 1 set at a
% time, and then test on each
test.m
function test(testdir, n, code)
% Speaker Recognition: Testing Stage
%
% Input:
% testdir : string name of directory contains all test sound files
% n : number of test files in testd
test.m
function test(testdir, n, code)
% Speaker Recognition: Testing Stage
%
% Input:
% testdir : string name of directory contains all test sound files
% n : number of test files in testd
walshtransform.m
%The function implement the 1D Walash Transform which can be used in
%signal processing,pattern recognition and Genetic algorithms. The Formula of
%1D Walsh Transform is defined as :
%%
pca.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% PCA Face Recognition Script %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% by Teofilo Emidio de Campos
% mailto:teo@ime.usp.br
% http://www.ime.usp.br/~teo
% ICQ# 6011445
test.m
function test(testdir, n, code)
% Speaker Recognition: Testing Stage
%
% Input:
% testdir : string name of directory contains all test sound files
% n : number of test files in testd
cmpwin.m
function [win]=cmpwin(mins,maxs,xborder,yborder)
%
% [win]=cmpwin(mins,maxs,xborder,yborder)
%
% CMPWIN computes appropriate size of the axes.
%
% Statistical Pattern Recognition Toolbox, Vojte