Results 71 to 80 of about 2,392 (180)

Internet traffic data recovery via a low-rank spatio-temporal regularized optimization approach without d-th order T-SVD

Frontiers in Applied Mathematics and Statistics
Accurate recovery of Internet traffic data can mitigate the adverse impact of incomplete data on network task processes. In this study, we propose a low-rank recovery model for incomplete Internet traffic data with a fourth-order tensor structure ...
Yuxuan Duan, Chen Ling, Jinjie Liu, Xinmin Yang   +3 more
doaj   +1 more source

Diffusion tensor image segmentation of the cerebrum provides a single measure of cerebral small vessel disease severity related to cognitive change

NeuroImage: Clinical, 2017
Cerebral small vessel disease (SVD) is the primary cause of vascular cognitive impairment and is associated with decline in executive function (EF) and information processing speed (IPS).
Owen A. Williams, Eva A. Zeestraten, Philip Benjamin, Christian Lambert, Andrew J. Lawrence, Andrew D. Mackinnon, Robin G. Morris, Hugh S. Markus, Rebecca A. Charlton, Thomas R. Barrick   +9 more
doaj   +1 more source

Accelerated water residual removal in MRS: Exploring deep learning versus fitting‐based approaches

Magnetic Resonance in Medicine, Volume 95, Issue 1, Page 38-50, January 2026.
Abstract PurposeRemoving water residual signals from MRS spectra is crucial for accurate metabolite quantification. However, currently available algorithms are computationally intensive and time‐consuming, limiting their clinical applicability. This work aims to propose and validate two novel pipelines for fast water residual removal in MRS. MethodsTwo
Federico Turco, Johannes Slotboom, Milena Capiglioni   +2 more
wiley   +1 more source

Abdominal simultaneous 3D water T1 and T2 mapping using a free‐breathing Cartesian acquisition with spiral profile ordering

Magnetic Resonance in Medicine, Volume 95, Issue 1, Page 268-285, January 2026.
Abstract Purpose To develop a method for abdominal simultaneous 3D water T1$$ {T}_1 $$ (wT1$$ \mathrm{w}{T}_1 $$) and T2$$ {T}_2 $$ (wT2$$ \mathrm{w}{T}_2 $$) mapping with isotropic resolution using a free‐breathing Cartesian acquisition with spiral profile ordering (CASPR) at 3 T.
Jonathan Stelter, Kilian Weiss, Lisa Steinhelfer, Jakob Meineke, Weitong Zhang, Bernhard Kainz, Rickmer F. Braren, Dimitrios C. Karampinos   +7 more
wiley   +1 more source

A mixed EIM-SVD tensor decomposition for bivariate functions

, 2017
In this paper we present a mixed EIM-SVD tensor decomposition for bivariate functions. This method is composed, as its name suggests, of two main steps. The first one, provides an approximate representation of a function $f$ in separate form by the use of a Tensor Empirical Interpolation Method (TEIM). The second phase consists in applying the Singular
De Vuyst, Florian, Toumi, Asma
openaire   +2 more sources

A Tensor-Based Subspace Approach for Bistatic MIMO Radar in Spatial Colored Noise

Sensors, 2014
In this paper, a new tensor-based subspace approach is proposed to estimate the direction of departure (DOD) and the direction of arrival (DOA) for bistatic multiple-input multiple-output (MIMO) radar in the presence of spatial colored noise.
Xianpeng Wang, Wei Wang, Xin Li, Junxiang Wang   +3 more
doaj   +1 more source

Needle in a Haystack: Information Recovery in Low Signal‐to‐Noise Piezoresponse Force Microscopy Data

Small Methods, Volume 10, Issue 2, 22 January 2026.
Reconstruction of low signal‐to‐noise ratio signals enables improved information recovery in piezoresponse force microscopy data, even in data with a substantial amount of noise. Incorporating signal processing errors to detect and Bayesian matrix completion methods to reconstruct low SNR signals substantially alters the apparent PFM switching ...
Kerisha N. Williams, Henry Shaowu Yuchi, Gardy Kevin Ligonde, Mathew Repasky, Yao Xie, Nazanin Bassiri‐Gharb   +5 more
wiley   +1 more source

Multishot Compressive Hyperspectral Imaging Based on Tensor Fibered Rank Minimization and Its Primal-Dual Algorithm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Coded aperture snapshot spectral imaging (CASSI) compresses tens to hundreds of spectral bands of the hyperspectral image (HSI) to a 2-D compressive measurement.
Ting Xie, Xudong Kang, Renwei Dian, Tonghan Wang, Licheng Liu   +4 more
doaj   +1 more source

Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD)

, 2016
Tensor decompositions have rich applications in statistics and machine learning, and developing efficient, accurate algorithms for the problem has received much attention recently. Here, we present a new method built on Kruskal's uniqueness theorem to decompose symmetric, nearly orthogonally decomposable tensors.
Wang, Miaoyan, Song, Yun S.
openaire   +2 more sources

An optimization approach for dynamical Tucker tensor approximation

Results in Applied Mathematics, 2019
An optimization-based approach for Tucker tensor approximation of parameter-dependent data tensors and solutions of tensor differential equations with low Tucker rank is presented.
Lukas Exl
doaj   +1 more source