代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
代码结果 2,639
www.eeworm.com/read/297233/8042163
h typeclass.h
/* Values returned by __builtin_classify_type. */
enum type_class
{
no_type_class = -1,
void_type_class, integer_type_class, char_type_class,
enumeral_type_class, boolean_type_class,
pointer
www.eeworm.com/read/131315/5936654
h typeclass.h
/* Values returned by __builtin_classify_type. */
enum type_class
{
no_type_class = -1,
void_type_class, integer_type_class, char_type_class,
enumeral_type_class, boolean_type_class,
pointer
www.eeworm.com/read/123658/14618942
h typeclass.h
/* Values returned by __builtin_classify_type. */
enum type_class
{
no_type_class = -1,
void_type_class, integer_type_class, char_type_class,
enumeral_type_class, boolean_type_class,
pointer
www.eeworm.com/read/213679/15127748
h resource.h
//{{NO_DEPENDENCIES}}
// Microsoft Developer Studio generated include file.
// Used by mfc毕业设计.rc
//
#define IDM_ABOUTBOX 0x0010
#define IDD_ABOUTBOX 100
#d
www.eeworm.com/read/386050/8769415
m classim.m
%CLASSIM Classify image and return resulting label image
%
% LABELS = CLASSIM(Z)
% LABELS = CLASSIM(A,W)
% LABELS = A*W*CLASSIM
%
% INPUT
% Z Classified dataset, or
% A,W Dataset and
www.eeworm.com/read/376249/9323374
h ctype.h
/*
* Character classification macros for MICRO-C
*
* These macros classify the passed character based on a table
* lookup. The accepted range of character values which may be
* tested is (0
www.eeworm.com/read/362500/9996120
m isimcapr.m
function newmod = isimcapr(data,model);
%ISIMCAPR Applies IMGSIMCA models to new images
% This function uses models developed with the IMGSIMCA function
% to classify areas on a new multivariate ima
www.eeworm.com/read/299984/7140681
m classim.m
%CLASSIM Classify image and return resulting label image
%
% LABELS = CLASSIM(Z)
% LABELS = CLASSIM(A,W)
% LABELS = A*W*CLASSIM
%
% INPUT
% Z Classified dataset, or
% A,W Dataset and
www.eeworm.com/read/460435/7251157
m classim.m
%CLASSIM Classify image and return resulting label image
%
% LABELS = CLASSIM(Z)
% LABELS = CLASSIM(A,W)
% LABELS = A*W*CLASSIM
%
% INPUT
% Z Classified dataset, or
% A,W Dataset and
www.eeworm.com/read/450608/7480558
m classim.m
%CLASSIM Classify image and return resulting label image
%
% LABELS = CLASSIM(Z)
% LABELS = CLASSIM(A,W)
% LABELS = A*W*CLASSIM
%
% INPUT
% Z Classified dataset, or
% A,W Dataset and