The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions.

IEEE Transactions on Pattern Analysis and Machine Intelligence(2014)

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摘要
The spike-and-slab restricted Boltzmann machine (ssRBM) is defined to have both a real-valued “slab” variable and a binary “spike” variable associated with each unit in the hidden layer. The model uses its slab variables to model the conditional covariance of the observation-thought to be important in capturing the statistical properties of natural images. In this paper, we present the canonical s...
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关键词
Slabs,Data models,Vectors,Feature extraction,Covariance matrices,Training,Standards
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