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- W3015655394 abstract "We propose a novel approach to solve exactly the sparse nonnegative least squares problem, under hard ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>0</sub> sparsity constraints. This approach is based on a dedicated branch-and-bound algorithm. This simple strategy is able to compute the optimal solution even in complicated cases such as noisy or ill-conditioned data, where traditional approaches fail. We also show that our algorithm scales well, despite the combinatorial nature of the problem. We illustrate the advantages of the proposed technique on synthetic data sets, as well as a real-world hyperspectral image." @default.
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- W3015655394 date "2020-05-01" @default.
- W3015655394 modified "2023-09-25" @default.
- W3015655394 title "Exact Sparse Nonnegative Least Squares" @default.
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- W3015655394 doi "https://doi.org/10.1109/icassp40776.2020.9053295" @default.
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