Results 41 to 50 of about 1,797 (255)
Weighted Nuclear Norm Minimization with Application to Image Denoising [PDF]
As a convex relaxation of the low rank matrix factorization problem, the nuclear norm minimization has been attracting significant research interest in recent years. The standard nuclear norm minimization regularizes each singular value equally to pursue the convexity of the objective function.
Shuhang Gu +3 more
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Interference alignment using reweighted nuclear norm minimization [PDF]
This paper proposes an algorithm to compute the transmit beamformers for linear interference alignment for the MIMO interference channel and the MIMO interfering multiple-access/broadcast channel without symbol extensions. We first formulate the interference alignment problem as a rank minimization problem with linear constraints, then approximate the ...
Gokul Sridharan, Wei Yu 0001
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Fast randomized Singular Value Thresholding for Nuclear Norm Minimization [PDF]
Rank minimization problem can be boiled down to either Nuclear Norm Minimization (NNM) or Weighted NNM (WNNM) problem. The problems related to NNM (or WNNM) can be solved iteratively by applying a closed-form proximal operator, called Singular Value Thresholding (SVT) (or Weighted SVT), but they suffer from high computational cost to compute a Singular
Tae Hyun Oh +3 more
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Denoising for Low-Dose CT Image by Discriminative Weighted Nuclear Norm Minimization
Low-dose computed tomography (LDCT) is an effective approach to reduce radiation exposure to patients. Lots of mottle noise and streak artifacts, however, are introduced to the reconstructed image.
Lina Jia +7 more
doaj +1 more source
Extracting Seasonal Signals in GNSS Coordinate Time Series via Weighted Nuclear Norm Minimization
Global Navigation Satellite System (GNSS) coordinate time series contains obvious seasonal signals, which mainly manifest as a superposition of annual and semi-annual oscillations.
Baozhou Chen +4 more
doaj +1 more source
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
On the Convex Geometry of Weighted Nuclear Norm Minimization
Low-rank matrix approximation, which aims to construct a low-rank matrix from an observation, has received much attention recently. An efficient method to solve this problem is to convert the problem of rank minimization into a nuclear norm minimization problem.
openaire +2 more sources
Calpain small subunit homodimerization is robust and calcium‐independent
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
wiley +1 more source
s-Goodness for Low-Rank Matrix Recovery
Low-rank matrix recovery (LMR) is a rank minimization problem subject to linear equality constraints, and it arises in many fields such as signal and image processing, statistics, computer vision, and system identification and control.
Lingchen Kong +2 more
doaj +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source

