代码搜索：Distance
找到约 8,736 项符合「Distance」的源代码
代码结果 8,736
www.eeworm.com/read/343493/11944232
m amari_distance.m
function Perf=amari_distance(Q1,Q2);
% AMARI_DISTANCE - distance between two matrices. Beware: it does not verify the axioms
% of a distance. It is always between 0 and 1.
% Copy
www.eeworm.com/read/253931/12176992
m amari_distance.m
function Perf=amari_distance(Q1,Q2);
% AMARI_DISTANCE - distance between two matrices. Beware: it does not verify the axioms
% of a distance. It is always between 0 and 1.
% Copy
www.eeworm.com/read/252504/12278527
m distance_pointtopoint.m
function Distance=Distance_piontTopoint(x1,y1,x2,y2)
%%get the distance between two point this is ok
%2007.09.29
Distance=sqrt((x1-x2).^2+(y1-y2).^2);
www.eeworm.com/read/250980/12372030
m distance_mahalanobis.m
function M = distance_mahalanobis(v,S)
%function M = distance_mahalanobis(v,S)
%
% INPUTS:
% v - a set of innovation vectors.
% S - the covariance matrix for the innovations.
%
% OUTPUT:
%
www.eeworm.com/read/250980/12372146
m distance_kld.m
function K = distance_KLD(v, P, Q)
%function K = distance_KLD(v, P, Q)
%
% INPUTS:
% v - difference between two means v = p - q
% P, Q - covariance matrices
%
% OUTPUT:
% K - Kullback Le
www.eeworm.com/read/250980/12372154
m distance_bhattacharyya.m
function [Bc,Bd] = distance_bhattacharyya(v, P, Q)
%[Bc,Bd] = distance_bhattacharyya(v, P, Q)
%
% INPUTS:
% v - difference between two means v = p - q
% P, Q - covariance matrices
%
% OUTPU
www.eeworm.com/read/250980/12372172
m distance_normalised.m
function N = distance_normalised(v, S)
%function N = distance_normalised(v, S)
%
% INPUTS:
% v - set of innovation vectors
% S - innovation covariance matrix
%
% OUTPUTS:
% N - normalise
www.eeworm.com/read/234502/14110946
m distance_ex.m
% EXAMPLE an example of distance snake on U shape boundary
%
% Chenyang Xu and Jerry Prince 6/17/97
% Copyright (c) 1996-97 by Chenyang Xu and Jerry Prince
cd ..; s = cd
www.eeworm.com/read/131634/14134994
m amari_distance.m
function Perf=amari_distance(Q1,Q2);
% AMARI_DISTANCE - distance between two matrices. Beware: it does not verify the axioms
% of a distance. It is always between 0 and 1.
% Copy
www.eeworm.com/read/131588/14136293