Results 61 to 70 of about 10,455 (264)
Low-Rank Tensor Completion via Tensor Nuclear Norm With Hybrid Smooth Regularization
IEEE Access, 2019 As a convex surrogate of tensor multi rank, recently the tensor nuclear norm (TNN) obtains promising results in the tensor completion. However, only considering the low-tubal-rank prior is not enough for recovering the target tensor, especially when the ...
Xi-Le Zhao +4 more
doaj +1 more source
Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition
IET Biometrics, 2021 In this article, an effective approach is proposed to recognise the 2D+3D facial expression automatically based on orthogonal Tucker decomposition using factor priors (OTDFPFER).
Yunfang Fu +4 more
doaj +1 more source
Concatenated image completion via tensor augmentation and completion [PDF]
2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS), 2016 7 pages, 6 figures, submitted to ICSPCS ...
Johann A. Bengua +3 more
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FEBS Open Bio, EarlyView.Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
wiley +1 more source
Covid-19 pandemic data analysis using tensor methods [PDF]
Computational Algorithms and Numerical DimensionsIn this paper, we use tensor models to analyze the Covid-19 pandemic data. First, we use tensor models, canonical polyadic, and higher-order Tucker decompositions to extract patterns over multiple modes. Second, we implement a tensor completion algorithm
Dipak Dulal +2 more
doaj +1 more source
Robust Tensor Completion Using Transformed Tensor SVD
CoRR, 2019 In this paper, we study robust tensor completion by using transformed tensor singular value decomposition (SVD), which employs unitary transform matrices instead of discrete Fourier transform matrix that is used in the traditional tensor SVD. The main motivation is that a lower tubal rank tensor can be obtained by using other unitary transform matrices
Guang-Jing Song +2 more
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Ethical Foreground and Background in Adult Educator Work
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Adult educators work in a complex ethical environment. The very act of contributing to the learning of another is fraught with moral overtones. In this paper we consider the ethical dimensions of adult educator practice by distinguishing the ethical features of the context or ‘background’ of practice from the ethical capabilities and decision ...
Steven Hodge, Sonal Nakar
wiley +1 more source
Efficient tensor completion: Low-rank tensor train
CoRR, 2016 11 pages, 9 ...
Ho N. Phien +3 more
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Neurovascular Contacts in the Pathophysiology of Neuralgic Amyotrophy: An Observational Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neuralgic amyotrophy (NA) is a prevalent, monophasic, multifocal immune‐mediated neuropathy. A distinctive characteristic of the disease is the occurrence of nerve or fascicle constrictions and torsions (NA‐associated focal nerve lesions, NAFL). The pathophysiology underlying this phenomenon remains to be fully elucidated.
Johannes Fabian Holle +4 more
wiley +1 more source
Tensor completion with noisy side information
Machine Learning, 2023 AbstractWe develop a new model for tensor completion which incorporates noisy side information available on the rows and columns of a 3-dimensional tensor. This method learns a low rank representation of the data along with regression coefficients for the observed noisy features.
Dimitris Bertsimas, Colin Pawlowski
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