run_office10.m

%% Loading Data:
clearvars;
% tic
t0 = clock;
addpath('./utils/');
data_dir = './data/Office10_decaf6/';
domains = {'caltech', 'amazon', 'webcam', 'dslr'}; 
% ---lamda=0.01, gamma=0.0001, beta=0.0001, eta=0.0010, sigma=1.00, d1=128, d2=30 ---
options.lambda = 0.01;
options.gamma = 0.0001;
options.beta = 0.0001;
options.eta = 0.0010;
options.sigma = 1;
T = 11;
options.ReducedDim = 128;
d = 30;

count = 0;
for source_domain_index = 1:length(domains)
    load([data_dir domains{source_domain_index} '.mat']); 
    domainS_features_ori = L2Norm(feas);
    domainS_labels = labels';
    for target_domain_index = 1:length(domains)
        if target_domain_index == source_domain_index
            continue;
        end
        fprintf('Source domain: %s, Target domain: %s\n',domains{source_domain_index},domains{target_domain_index});
        load([data_dir domains{target_domain_index} '.mat']); 
        domainT_features = L2Norm(feas);
        domainT_labels = labels';
            
       %% use PCA
       X = double([domainS_features_ori;domainT_features]);
       P_pca = PCA(X,options);
       domainS_features = domainS_features_ori*P_pca;
       domainT_features = domainT_features*P_pca;
       domainS_features = L2Norm(domainS_features);
       domainT_features = L2Norm(domainT_features);
       num_class = length(unique(domainT_labels));
            
       %% Proposed method:   
       [acc, acc_per_class] = CDE(domainS_features, domainS_labels, domainT_features, domainT_labels, d, T, options);
       
       count = count + 1;
       all_acc_per_class(count,:) = mean(acc_per_class,2);
       all_acc_per_image(count,:) = acc;
    end
end
mean_acc_per_class = mean(all_acc_per_class,1);
mean_acc_per_image = mean(all_acc_per_image,1);
% ------输出每个taskT次迭代最高准确率和12个task平均准确率------
acc_per_task = max(all_acc_per_image,[],2);
fprintf('\n---lamda=%0.2f, gamma=%0.4f, beta=%0.4f, eta=%0.4f, sigma=%0.2f, d1=%d, d2=%d ---\n',options.lambda, options.gamma,options.beta,options.eta,options.sigma, options.ReducedDim, d);
acc_per_task
mean_acc_all_task = mean(acc_per_task)
% toc
TimeCost=etime(clock,t0);
fprintf('Time Cost %.2f seconds.', TimeCost);
% exit();