代码搜索:multidimensional

找到约 559 项符合「multidimensional」的源代码

代码结果 559
www.eeworm.com/read/483011/6607245

m em_gm.m

function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) % [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) % % EM algorithm for k multidimensional Gaussian mixture estimation % % Inputs: % X(n
www.eeworm.com/read/320347/3548421

m em_gm.m

function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) % [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) % % EM algorithm for k multidimensional Gaussian mixture estimation % % Inputs: % X(n
www.eeworm.com/read/277988/10587775

m em_gm.m

function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) % [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) % % EM algorithm for k multidimensional Gaussian mixture estimation % % Inputs: % X(n,d) -
www.eeworm.com/read/205036/15329019

m tt_sub2ind.m

function idx = tt_sub2ind(siz,subs) %TT_SUB2IND Converts multidimensional subscripts to linear indices. % % See also TT_IND2SUB, SUB2IND. % %MATLAB Tensor Toolbox. %Copyright 2007, Sandia Corp
www.eeworm.com/read/483011/6607246

m em_gm_fast.m

function [W,M,V,L] = EM_GM_fast(X,k,ltol,maxiter,pflag,Init) % [W,M,V,L] = EM_GM_fast(X,k,ltol,maxiter,pflag,Init) % % EM algorithm for k multidimensional Gaussian mixture estimation % (EM_GM_fa
www.eeworm.com/read/233448/4683780

c vect-67.c

/* { dg-require-effective-target vect_int } */ #include #include "tree-vect.h" #define N 16 int main1 (int a, int b) { int i, j; int ia[N][4][N+8]; /* Multidimensional array. Alig
www.eeworm.com/read/162614/5528775

c vect-67.c

/* { dg-require-effective-target vect_int } */ #include #include "tree-vect.h" #define N 16 int main1 (int a, int b) { int i, j; int ia[N][4][N+8]; /* Multidimensional array. Alig
www.eeworm.com/read/320347/3548422

m em_gm_fast.m

function [W,M,V,L] = EM_GM_fast(X,k,ltol,maxiter,pflag,Init) % [W,M,V,L] = EM_GM_fast(X,k,ltol,maxiter,pflag,Init) % % EM algorithm for k multidimensional Gaussian mixture estimation % (EM_GM_fa
www.eeworm.com/read/367675/2833745

txt 83.txt

发信人: fervvac (高远), 信区: DataMining 标 题: Re: Data compression一问 发信站: 南京大学小百合站 (Wed Apr 9 13:46:17 2003) See Approximate Computation of Multidimensional Aggregates of Sparse Data Using W avel