代码搜索：Projected
找到约 176 项符合「Projected」的源代码
代码结果 176
www.eeworm.com/read/280595/10312041
m~ kpcarec.m~
function Y = kpcarec(X,model)
% KPCAREC Reconstructs image after kernel PCA.
%
% Synopsis:
% Y = kpcarec(X,model)
%
% Description:
% Input data X are projected using kernel projection trained
% th
www.eeworm.com/read/280595/10312048
m kpcarec.m
function Y = kpcarec(X,model)
% KPCAREC Reconstructs image after kernel PCA.
%
% Synopsis:
% Y = kpcarec(X,model)
%
% Description:
% Input data X are projected using kernel projection trained
% th
www.eeworm.com/read/280595/10312349
m pcarec.m
function Y = pcarec(X,model)
% PCAREC Computes reconstructed vector after PCA projection.
%
% Synopsis:
% Y = pcarec(X,model)
%
% Description:
% The input vectorts X are projected onto Z using line
www.eeworm.com/read/449894/7079615
m pca1.m
% PCA1: Perform PCA using covariance.
% data --- MxN matrix of input data (M dimensions, N trials)
% signals --- MxN matrix of projected data
% PC --- each column is a PC
% V
www.eeworm.com/read/299459/7850577
m~ kpcarec.m~
function Y = kpcarec(X,model)
% KPCAREC Reconstructs image after kernel PCA.
%
% Synopsis:
% Y = kpcarec(X,model)
%
% Description:
% Input data X are projected using kernel projection trained
% th
www.eeworm.com/read/299459/7850581
m kpcarec.m
function Y = kpcarec(X,model)
% KPCAREC Reconstructs image after kernel PCA.
%
% Synopsis:
% Y = kpcarec(X,model)
%
% Description:
% Input data X are projected using kernel projection trained
% th
www.eeworm.com/read/299459/7850846
m pcarec.m
function Y = pcarec(X,model)
% PCAREC Computes reconstructed vector after PCA projection.
%
% Synopsis:
% Y = pcarec(X,model)
%
% Description:
% The input vectorts X are projected onto Z using line
www.eeworm.com/read/312163/13617495
m~ kpcarec.m~
function Y = kpcarec(X,model)
% KPCAREC Reconstructs image after kernel PCA.
%
% Synopsis:
% Y = kpcarec(X,model)
%
% Description:
% Input data X are projected using kernel projection trained
% th
www.eeworm.com/read/312163/13617497
m kpcarec.m
function Y = kpcarec(X,model)
% KPCAREC Reconstructs image after kernel PCA.
%
% Synopsis:
% Y = kpcarec(X,model)
%
% Description:
% Input data X are projected using kernel projection trained
% th
www.eeworm.com/read/312163/13617577
m pcarec.m
function Y = pcarec(X,model)
% PCAREC Computes reconstructed vector after PCA projection.
%
% Synopsis:
% Y = pcarec(X,model)
%
% Description:
% The input vectorts X are projected onto Z using line