Results 41 to 50 of about 2,604 (146)

Hyper-Laplacian Regularized Multi-View Subspace Clustering With a New Weighted Tensor Nuclear Norm

IEEE Access, 2021
In this paper, we present a hyper-Laplacian regularized method WHLR-MSC with a new weighted tensor nuclear norm for multi-view subspace clustering. Specifically, we firstly stack the subspace representation matrices of the different views into a tensor ...
Qingjiang Xiao, Shiqiang Du, Jinmei Song, Yao Yu, Yixuan Huang   +4 more
doaj   +1 more source

Fast Reconstruction of Motion‐Corrupted Data With Mobile‐GRAPPA: Motion and δB0$$ \delta {B}_0 $$ Inhomogeneity Correction Leveraging Efficient GRAPPA

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an accurate and computationally efficient motion‐corrected MRI reconstruction framework that incorporates hundreds to thousands of motion and δB0$$ \delta {B}_0 $$ estimates from high‐temporal‐resolution tracking. Methods We propose Mobile‐GRAPPA, a k‐space preprocessing approach that uses MLP‐parameterized local GRAPPA ...
Yimeng Lin, Nan Wang, Daniel Abraham, Daniel Polak, Xiaozhi Cao, Aizada Nurdinova, Stephen Cauley, Kawin Setsompop   +7 more
wiley   +1 more source

Exploring Tensor-Based Optimization for Missing EEG Signal Recovery: A Comparative Study of Optimization Methods Across Different Tensor Decomposition Frameworks

IEEE Access
Electroencephalography (EEG) signals are frequently compromised by missing data due to electrode contact issues or subject movement. Tensor decomposition has emerged as a powerful technique for analyzing multidimensional EEG data.
Yue Zhang, Huanmin Ge, Chencheng Huang, Xinhua Su   +3 more
doaj   +1 more source

Structural network efficiency predicts cognitive decline in cerebral small vessel disease

NeuroImage: Clinical, 2020
Cerebral small vessel disease (SVD) is a common disease in older adults and a major contributor to vascular cognitive impairment and dementia. White matter network damage is a potentially important mechanism by which SVD causes cognitive impairment ...
Esther M. Boot, Esther MC van Leijsen, Mayra I. Bergkamp, Roy P.C. Kessels, David G. Norris, Frank-Erik de Leeuw, Anil M. Tuladhar   +6 more
doaj   +1 more source

Predicting Mesoscopic Larmor Frequency Shifts in Ex Vivo Porcine Optic Nerve

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Larmor frequency shifts in white matter (WM) vary with fiber orientation due to anisotropic microstructure. Since clinical voxels are significantly larger than these microscopic frequency variations, the measured signal represents a bulk average of local shifts.
Anders Dyhr Sandgaard, André Pampel, Roland Müller, Niklas Wallstein, Toralf Mildner, Carsten Jäger, Markus Morawski, Aage Kristian Olsen Alstrup, Harald E. Möller, Sune Nørhøj Jespersen   +9 more
wiley   +1 more source

Real Color Image Denoising Using t-Product- Based Weighted Tensor Nuclear Norm Minimization

IEEE Access, 2019
Color images can be seen as third-order tensors with column, row and color modes. Considering two inherent characteristics of a color image including the non-local self-similarity (NSS) and the cross-channel correlation, we extract non-local similar ...
Min Liu, Xinggan Zhang, Lan Tang
doaj   +1 more source

Accelerated Motion‐Compensated Diffusion‐Weighted pCASL Using Subspace Low‐Rank Reconstruction for Quantification of BBB Water Exchange and Permeability

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an accelerated motion‐compensated diffusion‐weighted pseudo‐continuous arterial spin labeling (MCDW‐pCASL) method using a spatial subspace low‐rank reconstruction method for efficient quantification of blood–brain barrier (BBB) water exchange (kw) and permeability (PSw).
Zixuan Liu, Chenyang Zhao, Ziyang Huang, Fanhua Guo, Danny J. J. Wang, Xingfeng Shao   +5 more
wiley   +1 more source

Tensor Eigenvalue and SVD from the Viewpoint of Linear Transformation

Axioms, 2023
A linear transformation from vector space to another vector space can be represented as a matrix. This close relationship between the matrix and the linear transformation is helpful for the study of matrices.
Xinzhu Zhao, Bo Dong, Bo Yu, Yan Yu
doaj   +1 more source

Tensor‐Based Reduction of Linear Parameter‐Varying State‐Space Models

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The linear parameter‐varying (LPV) framework is a powerful tool for controlling nonlinear (NL) and complex systems, but the conversion of NL models into LPV forms often results in high‐dimensional and overly conservative LPV models. To be able to apply control strategies, there is often a need for model reduction in order to reduce ...
Bogoljub Terzin, E. Javier Olucha, Amritam Das, Siep Weiland, Roland Tóth   +4 more
wiley   +1 more source

Precise Nanoscale Mapping of Electric Fields Across Random Grain Boundaries in Polycrystalline Oxides Using Precession‐Assisted 4D‐STEM

Small, EarlyView.
Correlative singular value decomposition 4D‐STEM analysis of the potential, electric field, and charge density distributions with crystal orientation, strain across grain boundaries in polycrystalline materials. ABSTRACT Space charge layers (SCLs) at grain boundaries play a crucial role in modulating electric fields and thereby influence functional ...
Sangjun Kang, Hyeyoung Cho, Maximilian Töllner, Anna Rose Nelson, Ziming Ding, Xiaoke Mu, Di Wang, Wolfgang Rheinheimer, Kai Wang, Bai‐Xiang Xu, Jakob Konstantin Laux, Mahmoud Serour, Karsten Albe, Andreas Klein, Christian Kübel   +14 more
wiley   +1 more source