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Implement_XXXX is the main text. All parameters have been tuned and fixed. One can implement code directly after changing the path.
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The features of Office-31, Office-Home and Imageclef-DA are extracted from deep models (pretrained without finetune).
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For all VGG features, we use the following data preprocessing method:
Xs = Xs ./ repmat(sum(Xs,2),1,size(Xs,2));
Xt = Xt ./ repmat(sum(Xt,2),1,size(Xt,2));
Xs=normr(zscore(Xs));
Xt=normr(zscore(Xt));
The preprocessing method follows JGSA https://documents.uow.edu.au/~jz960/.
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The original code is written using Matlab R2019a.
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There are 98 open set domain adaptation tasks.