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Visible to the public Topic Discovery through Data Dependent and Random Projections

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Visible to the public A new geometric approach to latent topic modeling and discovery

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Visible to the public Compressive sensing bounds through a unifying framework for sparse models

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Visible to the public A new one-class {SVM} for anomaly detection

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Visible to the public User-assisted reflection detection and feature point tracking

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Visible to the public Online local linear classification

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Visible to the public Sparse signal recovery under Poisson statistics

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Visible to the public Supervised Sequential Classification Under Budget Constraints

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Visible to the public Dynamic topic discovery through sequential projections