The Structure Transfer Machine Theory and Applications

1 Apr 2018Baochang ZhangLian ZhuoZe WangJungong HanXiantong Zhen

Representation learning is a fundamental but challenging problem, especially when the distribution of data is unknown. We propose a new representation learning method, termed Structure Transfer Machine (STM), which enables feature learning process to converge at the representation expectation in a probabilistic way... (read more)

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