Heterogeneous domain adaptation network based on autoencoder
Journal of Parallel and Distributed Computing, pp. 281-291, 2018.
EI
Abstract:
Heterogeneous domain adaptation is a more challenging problem than homogeneous domain adaptation. The transfer effect is not ideally caused by shallow structure which cannot adequately describe the probability distribution and obtain more effective features. In this paper, we propose a heterogeneous domain adaptation network based on auto...More
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