Tensor-variate restricted boltzmann machines
Restricted Boltzmann Machines (RBMs) are an important class of latent variable models for representing vector data. An under-explored area is multimode data, where each data point is a matrix or a tensor. Standard RBMs applying to such data would require vectorizing matrices and tensors, thus result...
| Main Authors: | Nguyen, T., Tran, The Truyen, Phung, D., Venkatesh, S. |
|---|---|
| Format: | Conference Paper |
| Published: |
2015
|
| Online Access: | http://hdl.handle.net/20.500.11937/33530 |
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