代码搜索：Pattern recognition
找到约 10,000 项符合「Pattern recognition」的源代码
代码结果 10,000
www.eeworm.com/read/263766/11343688
hif new_compare.hif
Version 7.1 Build 178 06/25/2007 Service Pack 1 SJ Web Edition
11
2401
OFF
OFF
OFF
OFF
ON
ON
ON
FV_OFF
Level2
0
0
VRSM_ON
VHSM_ON
altsyn.lmf
-- Start Partition --
-- End Partition --
www.eeworm.com/read/159921/10587739
m cmpwin.m
function [win]=cmpwin(mins,maxs,xborder,yborder)
%
% [win]=cmpwin(mins,maxs,xborder,yborder)
%
% CMPWIN computes appropriate size of the axes.
%
% Statistical Pattern Recognition Toolbox, Vojte
www.eeworm.com/read/421949/10676383
m cmpwin.m
function [win]=cmpwin(mins,maxs,xborder,yborder)
%
% [win]=cmpwin(mins,maxs,xborder,yborder)
%
% CMPWIN computes appropriate size of the axes.
%
% Statistical Pattern Recognition Toolbox, Vojte
www.eeworm.com/read/342327/12027627
m walshtransform.m
%The function implement the 1D Walash Transform which can be used in
%signal processing,pattern recognition and Genetic algorithms. The Formula of
%1D Walsh Transform is defined as :
%%
www.eeworm.com/read/128468/14295324
m cmpwin.m
function [win]=cmpwin(mins,maxs,xborder,yborder)
%
% [win]=cmpwin(mins,maxs,xborder,yborder)
%
% CMPWIN computes appropriate size of the axes.
%
% Statistical Pattern Recognition Toolbox, Vojte
www.eeworm.com/read/430506/1929374
m cmpwin.m
function [win]=cmpwin(mins,maxs,xborder,yborder)
%
% [win]=cmpwin(mins,maxs,xborder,yborder)
%
% CMPWIN computes appropriate size of the axes.
%
% Statistical Pattern Recognition Toolbox, Vojte
www.eeworm.com/read/373460/2761808
m cmpwin.m
function [win]=cmpwin(mins,maxs,xborder,yborder)
%
% [win]=cmpwin(mins,maxs,xborder,yborder)
%
% CMPWIN computes appropriate size of the axes.
%
% Statistical Pattern Recognition Toolbox, Vojte
www.eeworm.com/read/367442/9747777
m cmpwin.m
function [win]=cmpwin(mins,maxs,xborder,yborder)
%
% [win]=cmpwin(mins,maxs,xborder,yborder)
%
% CMPWIN computes appropriate size of the axes.
%
% Statistical Pattern Recognition Toolbox, Vojte
www.eeworm.com/read/415219/11080189
m gmmvbemdemo.m
% This file illustrates the usage of the function 'gmmVBEM.m'
% Refer to Bishop's book for notation and details
% @book{bishop2006pra,
% title={{Pattern recognition and machine learning}},
% auth