Results 81 to 90 of about 2,392 (180)

Lower serum uric acid and impairment of right cerebral hemisphere structural brain networks are related to depressive symptoms in cerebral small vessel disease: A cross-sectional study

Heliyon
Cerebral small vessel disease (SVD) may be associated with an increased risk of depressive symptoms. Serum uric acid (SUA), an antioxidant, may be involved in the occurrence and development of depressive symptoms, but the mechanism remains unknown ...
Lei Yu, Ming Yi, Jiayu Guo, Jinbiao Li, Huixing Zeng, Liqian Cui, Xiangming Xu, Gang Liu, Yuhua Fan, Jinsheng Zeng, Shihui Xing, Yicong Chen, Meng Wang, Shuangquan Tan, Leow Yi Jin, Dilip Kumar, Ashwati Vipin, Soo See Ann, Fatin Zahra Binte Zailan, Gurveen Kaur Sandhu, Nagaendran Kandiah, Chao Dang   +21 more
doaj   +1 more source

Tensor Completion Based on Triple Tubal Nuclear Norm

Algorithms, 2018
Many tasks in computer vision suffer from missing values in tensor data, i.e., multi-way data array. The recently proposed tensor tubal nuclear norm (TNN) has shown superiority in imputing missing values in 3D visual data, like color images and videos ...
Dongxu Wei, Andong Wang, Xiaoqin Feng, Boyu Wang, Bo Wang   +4 more
doaj   +1 more source

Handling the Non-smooth Challenge in Tensor SVD: A Multi-objective Tensor Recovery Framework

Recently, numerous tensor singular value decomposition (t-SVD)-based tensor recovery methods have shown promise in processing visual data, such as color images and videos. However, these methods often suffer from severe performance degradation when confronted with tensor data exhibiting non-smooth changes.
Jingjing Zheng, Wanglong Lu, Wenzhe Wang, Yankai Cao, Xiaoqin Zhang, Xianta Jiang   +5 more
openaire   +2 more sources

Noisy Low-Tubal-Rank Tensor Completion Through Iterative Singular Tube Thresholding

IEEE Access, 2018
In many applications, data organized in tensor form contains noise and missing entries. In this paper, the goal is to complete a tensor from its partial noisy observations.
Andong Wang, Dongxu Wei, Bo Wang, Zhong Jin   +3 more
doaj   +1 more source

Improved CPD based DOA estimation of nested array

Dianxin kexue, 2021
In order to avoid searching the peak value in space domain, when estimating nested array’s the direction of direction of arrival(DOA), the canonical polyadic decomposition(CPD) was applied into the nested array, namely using the one time singular value ...
Sibei CHENG, Xiao LUO, Bochou JIANG, Yuting WANG, Huanyu WU   +4 more
doaj  

Immune regulation and blood–brain barrier permeability in cerebral small vessel disease: study protocol of the INflammation and Small Vessel Disease (INSVD) study – a multicentre prospective cohort study

BMJ Open
Introduction The INflammation and Small Vessel Disease (INSVD) study aims to investigate whether peripheral inflammation, immune (dys)regulation and blood–brain barrier (BBB) permeability relate to disease progression in cerebral small vessel disease ...
Roy P C Kessels, Audrey Low, Hugh Markus, Anil Tuladhar, Frank‐Erik de Leeuw, Robin G Morris, Ziad Mallat, Niels P Riksen, Daniel J Tozer, Sanne van Winden, Lupei Cai, Marnix C Maas, Meritxell Nus, Anja van der Kolk, Rowan Wolters   +14 more
doaj   +1 more source

Poster Session 3

Pregnancy, Volume 2, Issue S1, January 2026.
wiley   +1 more source

Randomized block Krylov method for approximation of truncated tensor SVD

This paper is devoted to studying the application of the block Krylov subspace method for approximation of the truncated tensor SVD (T-SVD). The theoretical results of the proposed randomized approach are presented. Several experimental experiments using synthetics and real-world data are conducted to verify the efficiency and feasibility of the ...
Kooshkghazi, Malihe Nobakht, Ahmadi-Asl, Salman, de Almeida, Andre L. F.   +2 more
openaire   +2 more sources

Jacobi-type method for the SVD-like tensor decomposition

, 2021
For a general third-order tensor A we are looking for its SVD-like decomposition.
openaire   +2 more sources

A Hypercomplex Tensor-SVD and Its Application

A Hypercomplex Tensor-SVD and Its Application
identifier:oai:t2r2.star.titech.ac.jp ...
openaire