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We introduce in this paper a learning paradigm in which the training data is transformed by a diffeomorphic transformation before prediction.
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Matrix-valued kernels for shape deformation analysis
Mario Micheli and Joan A. Glaunès · 2014
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Gaussian diffeons for surface and image matching within a lagrangian framework
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