This repository contains the source code of the following traditional domain adaptation methods: DASVM, DIP, GFK, KMM, SA, SGF, STM, TCA, and RDALR. Their corresponding paper titles are as follows,
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DASVM: Domain adaptation problems: A DASVM classification technique and a circular validation strategy
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DIP: Unsupervised domain adaptation by domain invariant projection
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GFK: Geodesic flow kernel for unsupervised domain adaptation
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KMM: Correcting sample selection bias by unlabeled data
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SA: Unsupervised visual domain adaptation using subspace alignment
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SGF: Domain adaptation for object recognition: An unsupervised approach
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STM: Selective transfer machine for personalized facial action unit detection
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TCA: Domain adaptation via transfer component analysis
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RDALR: Robust visual domain adaptation with low-rank reconstruction