代码搜索：recognizing
找到约 52 项符合「recognizing」的源代码
代码结果 52
www.eeworm.com/read/293018/8318258
y ch1-05.y
%{
/*
* A lexer for the basic grammar to use for recognizing english sentences.
*/
#include
%}
%token NOUN PRONOUN VERB ADVERB ADJECTIVE PREPOSITION CONJUNCTION
%%
sentence: subject VERB
www.eeworm.com/read/415017/11086299
vbp prjnn.vbp
Type=Exe
Form=frmNN.frm
Reference=*\G{00020430-0000-0000-C000-000000000046}#2.0#0#..\..\..\..\SYSTEM\stdole2.tlb#OLE Automation
Module=modNN; modNN.bas
Object={F9043C88-F6F2-101A-A3C9-08002B2F49FB
www.eeworm.com/read/162614/5518511
c pr20458.c
/* { dg-do run } */
/* { dg-options "-O2" } */
/* The tail call optimization would inapproriately tail call the
destructors due to not recognizing a call clobbered variable */
namespace std
{
cl
www.eeworm.com/read/195191/8170555
awk split_ct.awk
# Split a ct file into individual files.
# Keyword for recognizing a new folding is "="
BEGIN {
count = 0;
if ( ARGC-- != 3 ) {
print "usage:";
print "nawk -f split.awk file-to-split prefix-f
www.eeworm.com/read/381901/9066710
m suppress.m
% Function suppress self-recognizing and non-stimulated Ab from Memory (M)
function [M] = suppress(M,ts);
%！！！！！！！！！！！！
% ？？？？？计算矩阵M自身的欧拉距离，删除距离在区间(0,ts)内的行
%！！！！！！！！！！！！
% M -> memory matrix
www.eeworm.com/read/316838/13516199
m suppress.m
% Function suppress self-recognizing and non-stimulated Ab from Memory (M)
function [M] = suppress(M,ts);
%！！！！！！！！！！！！
% ？？？？？计算矩阵M自身的欧拉距离，删除距离在区间(0,ts)内的行
%！！！！！！！！！！！！
% M -> memory matrix
www.eeworm.com/read/481356/6639279
m suppress.m
% Function suppress self-recognizing and non-stimulated Ab from Memory (M)
function [M] = suppress(M,ts);
%！！！！！！！！！！！！
% ？？？？？计算矩阵M自身的欧拉距离，删除距离在区间(0,ts)内的行
%！！！！！！！！！！！！
% M -> memory matrix
www.eeworm.com/read/419540/10863365
m recognition.m
function OutputName = Recognition(TestImage, m, A, Eigenfaces)
% Recognizing step....
%
% Description: This function compares two faces by projecting the images into facespace and
% measuring the
www.eeworm.com/read/437101/7755262
m recognition.m
function OutputName = Recognition(TestImage, m, A, Eigenfaces)
% Recognizing step....
%
% Description: This function compares two faces by projecting the images into facespace and
% measuring the