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A profound idea in learning invariant features for transfer learning is to align the statistical properties of the domains.In practice, this is achieved by minimizing the disparity between the domains, usually measured in terms of their statistical properties.
we introduce a deep learning framework based min-max statitical alingment strategy for the transfer learning.