代码搜索：objects
找到约 10,000 项符合「objects」的源代码
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www.eeworm.com/read/197407/7998326
cpp bestfit2.cpp
// best fit bin packing
#include
#include
#include "dbst2.h"
#include "xcept.h"
class BinNode {
friend void BestFitPack(int *, int, int);
friend ostream& opera
www.eeworm.com/read/297260/8034626
mak mk_qdos.mak
# $Id: mk_qdos.mak,v 1.10 2003/02/13 02:59:30 darren Exp $
#
# Makefile for ctags on QDOS/SMS systems and C68 v4.24
# Submitted by Thierry Godefroy
# Directories:
T = ram1_
P
www.eeworm.com/read/297260/8034641
mak mk_sas.mak
# $Id: mk_sas.mak,v 1.9 2003/02/13 02:59:30 darren Exp $
#
# Makefile for SAS/C Amiga Compiler
# Submitted by Stefan Haubenthal
CFLAGS= def AMIGA opt parm r sint
OBJEXT = o
www.eeworm.com/read/196787/8060839
makefile
# Makefile for CCITT subroutines and sample programs
#
# Modify the CC definition to invoke your ANSI-C compiler
#
CC = acc
# Rules to build sample programs do not depend on a UNIX library program
www.eeworm.com/read/397111/8067143
m dd_roc.m
function e = dd_roc(a,w)
%DD_ROC Receiver Operating Characteristic curve
%
% E = DD_ROC(A,W)
% E = DD_ROC(A*W)
% E = A*W*DD_ROC
%
% Find for a (data description) method W the Rec
www.eeworm.com/read/397102/8067987
m modeseek.m
%MODESEEK Clustering by modeseeking
%
% [labels,J] = modeseek(D,k)
%
% If D is a n*n distance matrix between object then a k-nn
% modeseeking method is used to assign each object to its nearest
%
www.eeworm.com/read/397102/8068313
m distm.m
%DISTM Distance matrix between two datasets.
%
% D = distm(A,B)
%
% Computation of the distance matrix D between two datasets A and B.
% Distances are computed as squared Euclidean. If A has m obj
www.eeworm.com/read/397102/8068366
m classs.m
%CLASSS Linear mapping by classical scaling
%
% W = classs(D,k)
%
% Calculates a linear mapping W of a distance matrix D to k dimensions.
% D should be square, size m x m. New objects may be mapped
www.eeworm.com/read/397102/8068484
m prex1.m
%PREX1 PRTOOLS example of classifiers and scatter plot
help prex1
pause(1)
echo on
A = gendath(100,100); % Generate Highleyman's classes
% Training set c (20 objects / class)
% Test set d
www.eeworm.com/read/397102/8068606
m dataimheight.m
%DATAIMHEIGHT Compute vertical image size for images stored as objects
function imheight = dataimheight(a);
if isa(a,'dataset') & isobjim(a)
imheight = dataimsize(a,1);
else
imheight = 0;
end