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Sparse Models, Algorithms, and Learning for Large Scale Data (SMALL)
Date du début: 1 févr. 2009, Date de fin: 31 juil. 2012,
SMALL will develop a new foundational framework for processing signals, using adaptive sparse structured representations.A key discriminating feature of sparse representations, which opened up the horizons to new ways of thinking in signal processing including compressed sensing, has been the focus on developing reliable algorithms with provable performance and bounded complexity. Yet, such approa ...
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