In this paper we first propose to find such a representation through a new learning method transfer component analysis tca for domain adaptation. How to use knowledge acquired from related domains and apply it to new domains. Transfer component analysis tca maximum independence domain adaptation mida subspace alignment sa information theoretical learning itl geodesic flow kernel gfk stationary subspace analysis ssa for comparison we also included three semi supervised transductive learning algorithms which can be used as baselines to other domain.
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