代码搜索：multi-dimensional
找到约 164 项符合「multi-dimensional」的源代码
代码结果 164
www.eeworm.com/read/442927/7641700
m gaussianlog.m
function out = gaussianLog(data, gaussianParam, gConst);
% gaussianLog: Multi-dimensional log Gaussian propability density function
% Usage: out = gaussianLog(data, gaussianParam, gConst)
% data: d
www.eeworm.com/read/438091/7736728
m ch8_4.m
% Model Identification This is a demonstration of subtractive clustering and
% how it can be used with multi-dimensional data.
% Copyright 1994-2002 The MathWorks, Inc. $Revision: 1.12 $
% Thi
www.eeworm.com/read/399998/7816250
c siftlocalmax.c
/* file: siftlocalmax.c
** author: Andrea Vedaldi
** description: Find local maximizer of multi-dimensional array.
**/
/* AUTORIGHTS
Copyright (c) 2006 The Regents of the University of Ca
www.eeworm.com/read/136959/13351537
c amalloc.c
/*
AMALLOC - multi-dimensional malloc()
Allocates a multidimensional array dynamically, at runtime, so that
1: its elements can be accessed using multiple indirection
2: it can be deallocated us
www.eeworm.com/read/307271/13724789
c siftlocalmax.c
/* file: siftlocalmax.c
** author: Andrea Vedaldi
** description: Find local maximizer of multi-dimensional array.
**/
/* AUTORIGHTS
Copyright (c) 2006 The Regents of the University of Ca
www.eeworm.com/read/463288/6305922
m ch8_4.m
% Model Identification This is a demonstration of subtractive clustering and
% how it can be used with multi-dimensional data.
% Copyright 1994-2002 The MathWorks, Inc. $Revision: 1.12 $
% Thi
www.eeworm.com/read/171479/5394776
groovy multidimarraystest.groovy
/**
* Expose how to deal with multi-dimensional Arrays until this is supported at the language level.
* @author Dierk Koenig
* @author Jochen Theodorou
*/
package groovy;
public class MultiDimA
www.eeworm.com/read/303435/3811568
lib headers.par.lib
ATOPKGE - convert ascii to arithmetic and with error checking
DOCPKGE - Function to implement the CWP self-documentation facility
EALLOC - Allocate and free multi-dimensional arrays with error reports
www.eeworm.com/read/275576/4174177
groovy multidimarraystest.groovy
/**
* Expose how to deal with multi-dimensional Arrays until this is supported at the language level.
* @author Dierk Koenig
* @author Jochen Theodorou
*/
package groovy;
public class M
www.eeworm.com/read/427287/1972391
m ch8_4.m
% Model Identification This is a demonstration of subtractive clustering and
% how it can be used with multi-dimensional data.
% Copyright 1994-2002 The MathWorks, Inc. $Revision: 1.12 $
% Thi