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    Chapter and Conference Paper

    Kernelized Transfer Feature Learning on Manifolds

    In the past few years in computer vision and machine learning, transfer learning has become an emerging research for leveraging richly labeled data in the source domain to construct a robust and accurate class...

    R. Lekshmi, Rakesh Kumar Sanodiya, R. J. Linda… in Neural Information Processing (2021)