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資源簡介

基于PCA的Deep Learning Network。作者馬毅,喜歡也可以去他的主頁下載

資源截圖

代碼片段和文件信息

%?====?PCANet?Demo?=======
%?T.-H.?Chan?K.?Jia?S.?Gao?J.?Lu?Z.?Zeng?and?Y.?Ma?
%?“PCANet:?A?simple?deep?learning?baseline?for?image?classification?“?submitted?to?IEEE?TPAMI.?
%?ArXiv?eprint:?http://arxiv.org/abs/1404.3606?

%?Tsung-Han?Chan?[thchan@ieee.org]
%?Please?email?me?if?you?find?bugs?or?have?suggestions?or?questions!
%?========================

clear?all;?close?all;?clc;?
addpath(‘./Utils‘);
addpath(‘./Liblinear‘);


TrnSize?=?10000;?
ImgSize?=?28;?
ImgFormat?=?‘gray‘;?%‘color‘?or?‘gray‘

%%?Loading?data?from?MNIST?Basic?(10000?training?2000?validation?50000?testing)?
%?load?mnist_basic?data
load(‘./MNISTdata/mnist_basic‘);?

%?=====?Reshuffle?the?training?data?=====
%?Randnidx?=?randperm(size(mnist_train1));?
%?mnist_train?=?mnist_train(Randnidx:);?
%?=======================================

TrnData?=?mnist_train(1:TrnSize1:end-1)‘;??%?partition?the?data?into?training?set?and?validation?set
TrnLabels?=?mnist_train(1:TrnSizeend);
ValData?=?mnist_train(TrnSize+1:end1:end-1)‘;
ValLabels?=?mnist_train(TrnSize+1:endend);
clear?mnist_train;

TestData?=?mnist_test(:1:end-1)‘;
TestLabels?=?mnist_test(:end);
clear?mnist_test;


%?====?Subsampling?the?Training?and?Testing?sets?============
%?(comment?out?the?following?four?lines?for?a?complete?test)?
TrnData?=?TrnData(:1:4:end);??%?sample?around?2500?training?samples
TrnLabels?=?TrnLabels(1:4:end);?%?
TestData?=?TestData(:1:50:end);??%?sample?around?1000?test?samples??
TestLabels?=?TestLabels(1:50:end);?
%?===========================================================

nTestImg?=?length(TestLabels);

%%?PCANet?parameters?(they?should?be?funed?based?on?validation?set;?i.e.?ValData?&?ValLabel)
%?We?use?the?parameters?in?our?IEEE?TPAMI?submission
PCANet.NumStages?=?2;
PCANet.PatchSize?=?7;
PCANet.NumFilters?=?[8?8];
PCANet.HistBlockSize?=?[7?7];?
PCANet.BlkOverLapRatio?=?0.5;

fprintf(‘\n?======?PCANet?Parameters?=======?\n‘)
PCANet

%%?PCANet?Training?with?10000?samples

fprintf(‘\n?======?PCANet?Training?=======?\n‘)
TrnData_ImgCell?=?mat2imgcell(TrnDataImgSizeImgSizeImgFormat);?%?convert?columns?in?TrnData?to?cells?
clear?TrnData;?
tic;
[ftrain?V?BlkIdx]?=?PCANet_train(TrnData_ImgCellPCANet1);?%?BlkIdx?serves?the?purpose?of?learning?block-wise?DR?projection?matrix;?e.g.?WPCA
PCANet_TrnTime?=?toc;
clear?TrnData_ImgCell;?


fprintf(‘\n?======?Training?Linear?SVM?Classifier?=======?\n‘)
tic;
models?=?train(TrnLabels?ftrain‘?‘-s?1?-q‘);?%?we?use?linear?SVM?classifier?(C?=?1)?calling?libsvm?library
LinearSVM_TrnTime?=?toc;
clear?ftrain;?


%%?PCANet?Feature?Extraction?and?Testing?

TestData_ImgCell?=?mat2imgcell(TestDataImgSizeImgSizeImgFormat);?%?convert?columns?in?TestData?to?cells?
clear?TestData;?

fprintf(‘\n?======?PCANet?Testing?=======?\n‘)

nCorrRecog?=?0;
RecHistory?=?zeros(nTestImg1);

tic;?
for?idx?=?1:1:nTestImg
????
????ftest?=?PCANet_FeaExt(TestData_ImgCell(idx)VPCAN

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2014-04-16?00:31??PCANet_demo\
?????文件????????4095??2014-04-16?00:26??PCANet_demo\demo.m
?????文件????????3013??2014-04-16?00:24??PCANet_demo\HashingHist.m
?????目錄???????????0??2013-11-07?01:29??PCANet_demo\Liblinear\
?????文件????????4226??2011-08-26?22:25??PCANet_demo\Liblinear\libsvmread.c
?????文件???????11225??2013-09-24?05:36??PCANet_demo\Liblinear\libsvmread.mexa64
?????文件???????10752??2013-08-25?19:42??PCANet_demo\Liblinear\libsvmread.mexw64
?????文件????????2254??2011-08-26?22:25??PCANet_demo\Liblinear\libsvmwrite.c
?????文件????????9463??2013-09-24?05:36??PCANet_demo\Liblinear\libsvmwrite.mexa64
?????文件????????9216??2013-08-25?19:42??PCANet_demo\Liblinear\libsvmwrite.mexw64
?????文件????????3726??2012-04-16?21:50??PCANet_demo\Liblinear\linear_model_matlab.c
?????文件?????????168??2008-09-06?19:07??PCANet_demo\Liblinear\linear_model_matlab.h
?????文件?????????910??2012-10-18?17:51??PCANet_demo\Liblinear\make.m
?????文件????????1764??2011-05-09?16:37??PCANet_demo\Liblinear\Makefile
?????文件????????8629??2012-10-09?21:49??PCANet_demo\Liblinear\predict.c
?????文件???????66845??2013-09-24?05:36??PCANet_demo\Liblinear\predict.mexa64
?????文件???????16384??2013-08-25?19:42??PCANet_demo\Liblinear\predict.mexw64
?????文件????????7349??2012-04-16?22:26??PCANet_demo\Liblinear\README
?????文件???????10947??2012-07-20?00:59??PCANet_demo\Liblinear\train.c
?????文件???????68273??2013-09-24?05:36??PCANet_demo\Liblinear\train.mexa64
?????文件???????58880??2013-08-25?19:42??PCANet_demo\Liblinear\train.mexw64
?????目錄???????????0??2013-11-07?01:29??PCANet_demo\MNISTdata\
?????文件????23859010??2013-10-29?04:03??PCANet_demo\MNISTdata\mnist_basic.mat
?????文件????????1851??2014-04-16?00:22??PCANet_demo\PCANet_FeaExt.m
?????文件????????3260??2014-04-16?00:22??PCANet_demo\PCANet_train.m
?????文件????????1774??2014-04-16?00:24??PCANet_demo\PCA_FilterBank.m
?????文件????????1730??2014-04-16?00:22??PCANet_demo\PCA_output.m
?????目錄???????????0??2013-11-07?01:29??PCANet_demo\Utils\
?????文件????????1341??2009-08-31?20:17??PCANet_demo\Utils\im2colstep.m
?????文件????????9919??2013-10-02?11:23??PCANet_demo\Utils\im2colstep.mexa64
?????文件????????9216??2013-10-01?19:43??PCANet_demo\Utils\im2colstep.mexw64
............此處省略2個文件信息

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