Restricted Boltzmann Machines and Their Extensions for Face Modeling

In this paper, we review the main structure of Restricted Boltzmann Machines and their improvements that have been proposed for data modeling. Different applications of this model are also summarized to provide a better understanding of the model. Notice that our work is different from the survey of recent developments of feature learning algorithms for time-series problems. The aim of that survey is to review unsupervised feature learning methods together with applications to several classical time-series problems. On the other hand, in this work, we also review recent trends and extensions of a specific model, i.e. the Temporal Restricted Boltzmann Machines (TRBM), for face modeling.