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Unsupervised Feature Learning by Deep Sparse Coding
In this paper, we propose a new unsupervised feature learning framework, namely Deep Sparse Coding (DeepSC), that extends sparse coding to a multi-layer architecture for visual object recognition tasks.
Learning the Dependency Structure of Latent Factors
In this paper, we study latent factor models with the dependency structure in the latent space.
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