代码搜索：same
找到约 10,000 项符合「same」的源代码
代码结果 10,000
www.eeworm.com/read/419340/10873419
dat map.dat
Don't change the file !!!
But you can add some map at the end of [custom maps] section.
And you must restart the boxman program!
ps:Never use the same number to sign your map.
+ : wall
- : ou
www.eeworm.com/read/273025/10931145
h errno.h
#ifndef _ERRNO_H
#define _ERRNO_H
/*
* ok, as I hadn't got any other source of information about
* possible error numbers, I was forced to use the same numbers
* as minix.
* Hopefully these are p
www.eeworm.com/read/418731/10933754
txt release codes, read, and learn....txt
0-Day - Release of the same day;
0-Sec - Instant release;
AC3 - Audio Coding 3, audio codec, usually 5.1 audio channels;
AFFiLS - Websites affiliated to the groups, where they put the releases;
AN
www.eeworm.com/read/418695/10935183
m minc.m
%MINC Minimum combining classifier
%
% W = minc(V)
% W = V*minc
%
% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the
% same classes and W is the minimum combiner: it selects the cla
www.eeworm.com/read/418695/10935438
m meanc.m
%MEANC Averaging combining classifier
%
% W = meanc(V)
% W = V*meanc
%
% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the
% same classes and W is the mean combiner: it selects the c
www.eeworm.com/read/418695/10935484
m majorc.m
%MAJORC Majority combining classifier
%
% W = majorc(V)
% W = v*majorc
%
% If V = [V1,V2,V3,...] is a stacked set of classifiers trained for
% the same classes and W is the majority combiner: it se
www.eeworm.com/read/418695/10935624
m maxc.m
%MAXC Maximum combining classifier
%
% W = maxc(V)
% W = V*maxc
%
% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the
% same classes and W is the maximum combiner: it selects the cla
www.eeworm.com/read/418695/10935696
m normr.m
function n = normr(m)
%NORMR Normalize rows of matrix.
%
% NORMR(M)
% M - a matrix.
% Returns a matrix the same size with each
% row normalized to a vector length of 1.
%
% See also NORMC, PNORMC.
www.eeworm.com/read/418342/10952725
m regiongrow.m
function [g, NR, SI, TI] = regiongrow(f, S, T)
%REGIONGROW Perform segmentation by region growing.
% [G, NR, SI, TI] = REGIONGROW(F, SR, T). S can be an array (the
% same size as F) with a 1 a
www.eeworm.com/read/417673/10980748
m modsig.m
function y = modsig(x, parameter)
%SIG_MF Sigmoidal membership function with two parameters.
% SIG_MF(x, [a, c]) returns a matrix y with the same size
% as x; each element of y is a grade of membershi