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Unsupervised Deep Representations for Learning Audience Facial Behaviors
In this paper, we present an unsupervised learning approach for analyzing facial behavior based on a deep generative model combined with a convolutional neural network (CNN).
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies
Matrix and tensor factorization methods are often used for finding underlying low-dimensional patterns from noisy data.
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