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Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders
Exemplar-based methods rely on informative data points or prototypes to guide the optimization of learning algorithms.
Unsupervised Selective Manifold Regularized Matrix Factorization
Manifold regularization methods for matrix factorization rely on the cluster assumption, whereby the neighborhood structure of data in the input space is preserved in the factorization space.
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