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/441245/7673377
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/397106/8067722
m locboost.m
function [D, P, theta, phi] = LocBoost(features, targets, Iterations, region)
% Classify using the local boosting algorithm
% Inputs:
% features - Train features
% targets - Train targets
%
www.eeworm.com/read/137160/13342567
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/314653/13562686
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/493294/6400457
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/400577/11573341
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/255755/12058257
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/150905/12249641
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/149739/12353898
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/130631/14180287
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