Learning Invariant Features Using Subspace Restricted Boltzmann Machine
نویسندگان
چکیده
منابع مشابه
Subspace Restricted Boltzmann Machine
The subspace Restricted Boltzmann Machine (subspaceRBM) is a third-order Boltzmann machine where multiplicative interactions are between one visible and two hidden units. There are two kinds of hidden units, namely, gate units and subspace units. The subspace units reflect variations of a pattern in data and the gate unit is responsible for activating the subspace units. Additionally, the gate ...
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ژورنال
عنوان ژورنال: Neural Processing Letters
سال: 2016
ISSN: 1370-4621,1573-773X
DOI: 10.1007/s11063-016-9519-9