代码搜索:Classify

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www.eeworm.com/read/278885/10491891

html,v classify.html,v

head 1.1; access; symbols; locks; strict; comment @# @; 1.1 date 2005.06.05.06.30.35; author picone; state Exp; branches; next ; desc @updated links for the new CAVS web site. @ 1.1 log @temp.te
www.eeworm.com/read/278885/10492516

html,v classify.html,v

head 1.2; access; symbols; locks; strict; comment @# @; 1.2 date 2005.06.30.21.42.36; author rirwin; state Exp; branches; next 1.1; 1.1 date 2005.06.05.06.30.46; author picone; state Exp; branches;
www.eeworm.com/read/278885/10492622

java,v classify.java,v

head 1.7; access; symbols; locks rirwin:1.7; strict; comment @# @; 1.7 date 2005.06.10.18.32.23; author rirwin; state Exp; branches; next 1.6; 1.6 date 2005.05.23.21.01.41; author rirwin; state Ex
www.eeworm.com/read/351765/10611664

h classify_util.h

/* * All questions regarding the software should be addressed to * * Prof. Charles A. Bouman * Purdue University * School of Electrical and Computer Engineering * 1285 Electri
www.eeworm.com/read/351765/10611722

cpp classify_util.cpp

/* * All questions regarding the software should be addressed to * * Prof. Charles A. Bouman * Purdue University * School of Electrical and Computer Engineering * 1285 Electri
www.eeworm.com/read/276944/10692895

m classify_slow.m

function [ar_mode] = classify2(I) % Tree Traversal ar_path = zeros(size(I)); ar_mode = zeros(size(I)); %for each point for i=1:size(I,2) [ar_mode(i),ar_path] = findMode(I(i),I,ar_path
www.eeworm.com/read/276405/10741355

asp admin_classify.asp

www.eeworm.com/read/349842/10796773

m start_classify.m

function [D, test_err, train_err, train_features, train_targets, reduced_features, reduced_targets] = start_classify(features, targets, error_method, redraws, percent, Preprocessing_algorithm, Preproc
www.eeworm.com/read/274071/10888921

c svm_classify.c

/***********************************************************************/ /* */ /* svm_classify.c
www.eeworm.com/read/274055/10889592

cpp svm_classify.cpp

// Svm_classify.cpp: implementation of the CSvm_classify class. // ////////////////////////////////////////////////////////////////////// #include "stdafx.h" #include "svm.h" #include "svm_comm