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- W1569306368 abstract "SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for exploration of new provably good methods to obtain inherently data-driven sparse models, able to cope with large-scale and complicated data. The toolbox provides an easy way to evaluate these methods against state-of-the art alternatives in a variety of standard signal processing problems. This is achieved trough a unifying interface that enables a seamless connection between the three types of modules: problems, dictionary learning algorithms and sparse solvers. In addition, it provides interoperability between existing state-of-the-art toolboxes. As an open source MATLAB toolbox, it can be also seen as a tool for reproducible research in the sparse representations research community." @default.
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- W1569306368 date "2010-01-01" @default.
- W1569306368 modified "2023-09-25" @default.
- W1569306368 title "SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms" @default.
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- W1569306368 doi "https://doi.org/10.1007/978-3-642-15995-4_52" @default.
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