代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
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www.eeworm.com/read/493294/6400303
m fisherm.m
%FISHERM Optimal discrimination linear mapping (Fisher mapping)
%
% W = FISHERM(A,N,ALF)
%
% INPUT
% A Dataset
% N Number of dimensions to map to, N < C, where C is the number of classes
%
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m dd_aic.m
function e = dd_aic(w,x)
%DD_AIC compute the Akaike Information Criterion for MoG
%
% E = DD_AIC(W,X)
%
% Compute the Akaike Information Criterion of the Mixture of
% Gaussians. We assume we have
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m distm.m
%DISTM Compute square Euclidean distance matrix
%
% D = DISTM(A,B)
%
% INPUT
% A,B Datasets or matrices; B is optional, default B = A
%
% OUTPUT
% D Square Euclidean distance dataset or
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m setcost.m
%SETCOST Reset classification cost matrix of mapping
%
% W = SETCOST(W,COST,LABLIST)
%
% The classification cost matrix of the dataset W is reset to COST.
% W has to be a trained classifier. CO
www.eeworm.com/read/493294/6400514
m covm.m
%COVM Compute covariance matrix for large datasets
%
% C = COVM(A)
%
% Similar to C = COV(A) this routine computes the covariance matrix
% for the datavectors stored in the rows of A. No large int
www.eeworm.com/read/493005/6403517
reverse
NAME
reverse - reverse a copy of a list or matrix
SYNOPSIS
reverse(x)
TYPES
x list or matrix
return same type as x
DESCRIPTION
For a list or matrix x, reverse(x) returns a lis
www.eeworm.com/read/493005/6403560
mattrace
NAME
mattrace - trace of a square matrix
SYNOPSIS
mattrace(m)
TYPES
m square matrix with summable diagonal elements
return determined by addition of elements
DESCRIPTION
For a
www.eeworm.com/read/493005/6403633
blkcpy
NAME
blkcpy, copy - copy items from a structure to a structure
SYNOPSIS
blkcpy(dst, src [, num [, dsi [, ssi]]]
copy(src, dest [, [ssi [, num [, dsi]]])
TYPES
src block, file, strin
www.eeworm.com/read/493005/6403686
inverse
NAME
inverse - inverse of value
SYNOPSIS
inverse(x)
TYPES
If x is an object of type xx, the function xx_inv has to have
been defined; any conditions on x and the nature of the return
www.eeworm.com/read/492798/6409187
mht cs143 introduction to matlab (code).mht
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Subject: CS143: Introduction to Matlab (Code)
Date: Tue, 12 May 2009 09:39:13 -0700
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