Results 41 to 50 of about 2,509 (175)

Low Tensor Rank Constrained Image Inpainting Using a Novel Arrangement Scheme

Applied Sciences
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, Youchen Fan, Shengliang Fang, Weichao Yang, Li Li   +4 more
doaj   +1 more source

Longitudinal changes in rich club organization and cognition in cerebral small vessel disease

NeuroImage: Clinical, 2019
Cerebral small vessel disease (SVD) is considered the most important vascular contributor to the development of cognitive impairment and dementia. There is increasing awareness that SVD exerts its clinical effects by disrupting white matter connections ...
Esther M.C. van Leijsen, Ingeborg W.M. van Uden, Mayra I. Bergkamp, Helena M. van der Holst, David G. Norris, Jurgen A.H.R. Claassen, Roy P.C. Kessels, Frank-Erik de Leeuw, Anil M. Tuladhar   +8 more
doaj   +1 more source

T-Hy-Demosaicing: Hyperspectral Reconstruction Via Tensor Subspace Representation Under Orthogonal Transformation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This article aims to solve the problem of the hyperspectral imagery (HSI) demosaicing under a novel subsampling hyperspectral sensing strategy. The existing method utilizes the periodic structure of subsampling to estimate a fixed subspace in matrix form
Shan-Shan Xu, Ting-Zhu Huang, Jie Lin, Yong Chen   +3 more
doaj   +1 more source

Color Image Restoration Using Sub-Image Based Low-Rank Tensor Completion

Sensors, 2023
Many restoration methods use the low-rank constraint of high-dimensional image signals to recover corrupted images. These signals are usually represented by tensors, which can maintain their inherent relevance.
Xiaohua Liu, Guijin Tang
doaj   +1 more source

White matter changes and gait decline in cerebral small vessel disease

NeuroImage: Clinical, 2018
The relation between progression of cerebral small vessel disease (SVD) and gait decline is uncertain, and diffusion tensor imaging (DTI) studies on gait decline are lacking.
H.M. van der Holst, A.M. Tuladhar, V. Zerbi, I.W.M. van Uden, K.F. de Laat, E.M.C. van Leijsen, M. Ghafoorian, B. Platel, M.I. Bergkamp, A.G.W. van Norden, D.G. Norris, E.J. van Dijk, A.J. Kiliaan, F.-E. de Leeuw   +13 more
doaj   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

A randomized block Krylov method for tensor train approximation

Frontiers in Applied Mathematics and Statistics
Tensor train decomposition is a powerful tool to tackle high-dimensional large-scale tensor data and is not suffering from the curse of dimensionality. It relies on performing the singular value decomposition (SVD) of auxiliary unfolding matrices.
Gaohang Yu, Jinhong Feng, Zhongming Chen, Xiaohao Cai, Liqun Qi   +4 more
doaj   +1 more source

Weighted t-Schatten-p Norm Minimization for Real Color Image Denoising

IEEE Access, 2020
In this paper, to fully exploit the spatial and spectral correlation information, we present a new real color image denoising scheme using tensor Schatten-p norm (t-Schatten-p norm) minimization based on t-SVD to recover the underlying low-rank tensor ...
Min Liu, Xinggan Zhang, Lan Tang
doaj   +1 more source

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

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source