Difference of two norms-regularizations for Q-Lasso
The focus of this paper is in Q-Lasso introduced in Alghamdi et al. (2013) which extended the Lasso by Tibshirani (1996). The closed convex subset Q belonging in a Euclidean m-space, for m∈IN, is the set of errors when linear measurements are taken to recover a signal/image via the Lasso. Based on a...
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Format: | Article |
Language: | English |
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Emerald Publishing
2021-01-01
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Series: | Applied Computing and Informatics |
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Online Access: | https://www.emerald.com/insight/content/doi/10.1016/j.aci.2018.07.002/full/pdf |