代码搜索：usage
找到约 10,000 项符合「usage」的源代码
代码结果 10,000
www.eeworm.com/read/468420/6989825
m nonmaxsuppts.m
% NONMAXSUPPTS - Non-maximal suppression for features/corners
%
% Non maxima suppression and thresholding for points generated by a feature
% or corner detector.
%
% Usage: [r,c] = nonmaxsuppts
www.eeworm.com/read/297874/7093112
m get_psooptions.m
%get_psoOptions >> A function to get an "options structure" that is used to set various option of the PSO Algorithm.
%
% Usage : psoOptions = get_psoOptions
% Arguments : None
www.eeworm.com/read/408124/7154324
l ch2-06.l
%{
#undef input
#undef unput
unsigned verbose;
unsigned fname;
char *progName;
%}
%s FNAME
%%
[ ]+ /* ignore blanks */ ;
[ ]+ /* ignore blanks */ ;
-h |
"-?" |
-help { printf("usage
www.eeworm.com/read/459593/7273124
m minmaxthresh.m
function [x] = MinMaxThresh(y)
% MinMaxThresh -- Minimax Thresholding
% Usage
% x = MinMaxThresh(y)
% Inputs
% y signal upon which to perform thresholding
% Outputs
% x result
www.eeworm.com/read/458392/7297181
m featselregspanboundgd.m
function [RankedVariables,nbsvvec,Values,NbQP,NbInv,iter]=FeatSelspanboundGD(x,y,c,epsilon,kernel,kerneloption,verbose,FeatSeloption)
% USAGE
%
% [RankedVariables,nbsvvec,Values]=FeatSelspanbo
www.eeworm.com/read/458392/7297182
m featselregalphagd.m
function [RankedVariables,nbsvvec,Values,NbQP,iter]=FeatSelregalphaGD(x,y,c,epsilon,kernel,kerneloption,verbose,FeatSeloption)
% Usage
%
% [RankedVariables,nbsvvec,Values,NbQP]=FeatSelregalpha
www.eeworm.com/read/458392/7297187
m featselregmargingdrandom.m
function [RankedVariables,nbsvvec,Values,NbQP,iter]=FeatSelregmarginGDrandom(x,y,c,epsilon,kernel,kerneloption,verbose,FeatSeloption)
% Usage
%
% [RankedVariables,nbsvvec,Values,NbQP]=FeatSelr
www.eeworm.com/read/458392/7297193
m featselregmargingd.m
function [RankedVariables,nbsvvec,Values,NbQP,iter]=FeatSelregmarginGD(x,y,c,epsilon,kernel,kerneloption,verbose,FeatSeloption)
% Usage
%
% [RankedVariables,nbsvvec,Values,NbQP]=FeatSelregmarg
www.eeworm.com/read/458392/7297213
m createmultilevelkernel.m
function [K,Kt]=CreateMultiLevelKernel(xapp,xtest,kerneloption,level)
% USAGE
%
% [K,Kt]=CreateMultiLevelKernel(xapp,xtest,kerneloption,level)
%
% This function creates multiscale kernels K an
www.eeworm.com/read/458392/7297239
m kernelpca.m
function [eigvect,eigval,Kt]=kernelpca(x,kernel,kerneloption)
% USAGE
% [eigvect,eigval]=kernelpca(x,kernel,kerneloption)
%
% Diagonalizing the covariance matrix in feature space
%
% eigenv