Results 221 to 230 of about 9,784 (260)

Fused ensembles of dynamic-rupture earthquake simulations to accelerate Bayesian inference. [PDF]

open access: yesGEM
Kurapati V   +5 more
europepmc   +1 more source

Gluteus Maximus-Tensor Fascia Lata Transfer With Double-Row Repair and Bioinductive Scaffold Augmentation for Chronic Abductor Tendon Tears. [PDF]

open access: yesArthrosc Tech
Sánchez-Mateos J   +6 more
europepmc   +1 more source

Weighted tensor nuclear norm minimization for tensor completion using tensor-SVD

Pattern Recognition Letters, 2020
Abstract In this paper, we consider the tensor completion problem, which aims to estimate missing values from limited information. Our model is based on the recently proposed tensor-SVD, which uses the relationships among the color channels in an image or video recovery problem. To improve the availability of the model, we propose the weighted tensor
Xuyun Zhang, Liangfu Lu, Lianyong Qi
exaly   +2 more sources

Internet traffic tensor completion with tensor nuclear norm

Computational Optimization and Applications, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Can Li, Yannan Chen, Dong-Hui Li
openaire   +1 more source

Smooth Tensor Product for Tensor Completion

IEEE Transactions on Image Processing
Low-rank tensor completion (LRTC) has shown promise in processing incomplete visual data, yet it often overlooks the inherent local smooth structures in images and videos. Recent advances in LRTC, integrating total variation regularization to capitalize on the local smoothness, have yielded notable improvements.
Tongle Wu, Jicong Fan 0001
openaire   +2 more sources

Distributed Tensor Completion Over Networks

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
The aim of this paper is to propose a novel distributed strategy for tensor completion, where (partial) data are collected over a network of agents with sparse, but connected, topology. The method hinges on the canonical polyadic decomposition, also known as PARAFAC, to complete the low-rank tensor in a distributed fashion.
Battiloro C., Di Lorenzo P.
openaire   +2 more sources

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