Multimodal Tucker Decomposition for Gated RBM Inference

Multimodal Tucker Decomposition for Gated RBM Inference

Gated networks are networks that contain gating connections in which the output of at least two neurons are multiplied. The basic idea of a gated restricted Boltzmann machine (RBM) model is to use the binary hidden units to learn the conditional distribution of one image (the output) given another i...

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Bibliographic Details
Main Authors: Mauricio Maldonado-Chan, Andres Mendez-Vazquez, Ramon Osvaldo Guardado-Medina
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
unsupervised learning
gated restricted Boltzmann machine
tucker decomposition
tensors
Online Access:https://www.mdpi.com/2076-3417/11/16/7397

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