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/38039/1096791
mnu ar_srftype.mnu
SUR_FACE#TYPE
#
Surface
Calculate surface area of a face.
#
Quilt
Calculate the surface area of a quilt.
#
Whole#model
Calculate the projected area of the entire model.
#
www.eeworm.com/read/415218/11080319
c oneprojectormex.c
/* oneProjector.c
$Id: oneProjectorMex.c 800 2008-02-26 22:32:04Z mpf $
----------------------------------------------------------------------
This file is part of SPGL1 (Spectral Projected
www.eeworm.com/read/460386/7251954
m verification1.m
load eigenvector u ;
load eigenvalue ev ;
load mean mn ;
load projected proj ;
load curves X ;
[vecsize,neig] = size(u)
M = 20; % number of eigenvector to use for verification
Rho =
www.eeworm.com/read/428849/8834726
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/428849/8834731
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/428849/8834892
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/371473/9552611
m stempot.m
function V = stempot(xmax,ymax,nx,ny,potfile)
% STEMPOT Generate a Projected Potential
% V = stempot(xmax,ymax,nx,ny,potfile)
% inputs xmax, ymax are the size of the slice in angstroms
% nx,ny
www.eeworm.com/read/362246/10010223
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/362246/10010228
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/362246/10010419
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