Results 111 to 120 of about 110,162 (274)
Regression-aware decompositions
Linear least-squares regression with a "design" matrix A approximates a given matrix B via minimization of the spectral- or Frobenius-norm discrepancy ||AX-B|| over every conformingly sized matrix X.
Tygert, Mark
core
Tensor Changepoint Detection and Eigenbootstrap
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta +2 more
wiley +1 more source
What If Each Voxel Were Measured With a Different Diffusion Protocol?
ABSTRACT Purpose Expansion of diffusion MRI (dMRI) both into the realm of strong gradients and into accessible imaging with portable low‐field devices brings about the challenge of gradient nonlinearities. Spatial variations of the diffusion gradients make diffusion weightings and directions non‐uniform across the field of view, and deform perfect ...
Santiago Coelho +7 more
wiley +1 more source
Coil Sketching for Fast and Efficient 4D Lung MRI Reconstruction
ABSTRACT Purpose To develop and evaluate a memory‐efficient and accelerated reconstruction framework for respiratory‐resolved 4D lung MRI using coil sketching and Toeplitz approximation, enabling high‐quality motion‐compensated low‐rank (MoCo‐LR) reconstructions on clinically accessible GPU hardware.
Joseph W. Plummer +7 more
wiley +1 more source
ABSTRACT Purpose In multi‐shot EPI, shot‐dependent phase fluctuations can introduce ghost artifacts, undermining advantages for enhancing resolution or reducing distortion, particularly in diffusion scans. Here, a novel self‐navigation strategy based on shift‐invariant kernel extraction is proposed, enabling robust estimation of phase inconsistencies ...
Rui Tian +3 more
wiley +1 more source
ABSTRACT This study presents a novel Distributed Robust Adaptive Model Predictive Control (DRAMPC) for tracking in multi‐agent systems. The framework is designed to work with dynamically coupled subsystems and limited communication, which is restricted to local neighborhoods.
Fabio Faliero +2 more
wiley +1 more source
A Progress Report on Numerical Solutions of Least Squares Adjustment in GNU Project Gama
GNU project Gama for adjustment of geodetic networks is presented. Numerical solution of Least Squares Adjustment in the project is based on Singular Value Decomposition (SVD) and General Orthogonalization Algorithm (GSO). Both algorithms enable solution
A. Čepek, J. Pytel
doaj
Enhanced Noise Suppression in Partial Discharge Signals via SVD and VMD with Wavelet Thresholding
Partial discharge evaluation is a principal method for assessing insulation conditions in power transformers. Traditional singular value decomposition (SVD) approaches, however, face issues like high residual noise and loss of signal details in white ...
Hailong Wang +6 more
doaj +1 more source
Evaluation of the yield stability of lentil genotypes by combining AMMI and BLUP techniques
Abstract This study evaluated the yield stability of 14 advanced lentil genotypes alongside two control cultivars (Kimia and Gachsaran) across three growing seasons (2013–2016) and three locations in Iran (Gachsaran, Ilam, and Khoramabad). A randomized complete block design with three replications was employed at each site.
Rahmatollah Karimizadeh +3 more
wiley +1 more source
Low Tensor Rank Constrained Image Inpainting Using a Novel Arrangement Scheme
Employing low tensor rank decomposition in image inpainting has attracted increasing attention. This study exploited novel tensor arrangement schemes to transform an image (a low-order tensor) to a higher-order tensor without changing the total number of
Shuli Ma +4 more
doaj +1 more source

