Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"group-sparsity"”.
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Learning sparse features and metric in signal and image processing
… non-convex and can take into account structured sparsity (e.g., group sparsity). We propose an efficient iterative thresholding procedure for solving the optimization. Our method achieves state-of-the-art performance for super-resolution signal spectrum estimation. On the other hand, in order to …
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Structured Online Learning with Full and Bandit Information
… such an action and (2) using the structure (sparsity, group sparsity, low-rankness) of a solution or user model. We explore such aspects under two feedback models: full and bandit information. With full information feedback, the algorithm observes the loss of each possible action it could …
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Advanced imaging via multiplexed sensing and compressive sensing
… total-variation measure TVL1, which enforces the sparsity and the directional continuity in the partial gradient domain. Theoretical and experimental results show that this new TVL1 achieves higher recovery accuracy than the previous TV measure TVL1L2 in decoding images from compressive …
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Sparse Modeling of Grouped Line Spectra
… signal source is assumed to exhibit some form of grouping. Different from previous parametric approaches, which generally require explicit knowledge of the model orders, this thesis exploits sparse modeling, where the orders are implicitly chosen. For line spectra, the non-linear parametric model …