Ngày tải lên :
13/08/2014, 21:12
... rldacv_dic(coefx, xlabel, type(t)); else dic = lda_dic(coefx, xlabel, type(t)); end coefx = represent_data(dic, coefx); coefy = represent_data(dic, coefy); end auc = estimate_auc(coefy, ylabel); ... discriminant analysis % [auc,score] = mtslda(training data, training label, test data, test label, spatial type, temporal type, decimation factor, channel order) nc = size(x, 3); x = rnmao(x, defa, chod); ... decimationfactor, channelorder) td = zeros(size(data, 3),size(data, 2),size(data, 1)); for tr = 1:size(data, 1) td(:, :, tr) = reshape(data(tr, :, :),size(data, 2),size(data, 3))'; end if (size(data, 3) ==...