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A constructive approach for computing the proximity operator of the p-th power of the ℓ1 norm
A Prater-Bennette, L Shen, EE Tripp - Applied and Computational Harmonic …, 2023 - Elsevier
This note is to study the proximity operator of hp=‖⋅‖ 1 p, the power function of the ℓ 1
norm. For general p, computing the proximity operator requires solving a system of …
norm. For general p, computing the proximity operator requires solving a system of …
A tailor-made 3-dimensional directional Haar semi-tight framelet for pMRI reconstruction
In this paper, we propose a model for parallel magnetic resonance imaging (pMRI)
reconstruction, regularized by a carefully designed tight framelet system, that can lead to …
reconstruction, regularized by a carefully designed tight framelet system, that can lead to …
A pruning extreme learning machine with regularization for multi-dimensional output problems
Y Dai, Y Zhang, Q Wu - International Journal of Machine Learning and …, 2024 - Springer
As a fast algorithm for training single-hidden layer feedforward neural networks, extreme
learning machine (ELM) has been successfully applied to various classification and …
learning machine (ELM) has been successfully applied to various classification and …
On Choosing Initial Values of Iteratively Reweighted Algorithms for the Piece-wise Exponential Penalty
R Lin, S Li, Y Liu - arxiv preprint arxiv:2310.17849, 2023 - arxiv.org
Computing the proximal operator of the sparsity-promoting piece-wise exponential (PiE)
penalty $1-e^{-| x|/\sigma} $ with a given shape parameter $\sigma> 0$, which is treated as …
penalty $1-e^{-| x|/\sigma} $ with a given shape parameter $\sigma> 0$, which is treated as …