A smoothing method for sparse optimization over convex sets
Sign Up to like & getrecommendations! Published in 2020 at "Optimization Letters"
DOI: 10.1007/s11590-019-01408-x
Abstract: In this paper, we investigate a class of heuristic schemes to solve the NP-hard problem of minimizing $$\ell _0$$ ℓ 0 -norm over a convex set. A well-known approximation is to consider the convex problem… read more here.
Keywords: optimization; ell norm; problem; smoothing method ... See more keywords
Facilitating OWL norm minimizations
Sign Up to like & getrecommendations! Published in 2021 at "Optimization Letters"
DOI: 10.1007/s11590-020-01598-9
Abstract: We present some characterizations of the ordered weighted $$\ell _1$$ ℓ 1 norm (aka sorted $$\ell _1$$ ℓ 1 norm) and of the vector Ky-Fan norm as solutions to linear programs involving reasonably many variables… read more here.
Keywords: ell norm; norm minimizations; owl norm; facilitating owl ... See more keywords
A Clutter Suppression Algorithm via Weighted ${\ell }_2{\rm{ - norm}}$ Penalty for Airborne Radar
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3187347
Abstract: In this letter, to improve the performance of the space-time adaptive processing (STAP) filter with finite training samples, a novel algorithm with multiple measurement vectors (MMV) based on sparse recovery (SR) is proposed. Compared with… read more here.
Keywords: penalty; algorithm; tex math; inline formula ... See more keywords
Robust DLPP With Nongreedy $\ell _1$ -Norm Minimization and Maximization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2016.2636130
Abstract: Recently, discriminant locality preserving projection based on L1-norm (DLPP-L1) was developed for robust subspace learning and image classification. It obtains projection vectors by greedy strategy, i.e., all projection vectors are optimized individually through maximizing the… read more here.
Keywords: minimization maximization; nongreedy ell; robust dlpp; ell norm ... See more keywords