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Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
Published on 2010-01-198322 Views
Non-parametric Bayesian techniques are considered for learning dictionaries for sparse image representations, with applications in denoising, inpainting and compressive sensing (CS). The beta process