Results 31 to 40 of about 9,784 (260)

Tensor Completion Methods for Collaborative Intelligence

IEEE Access, 2020
In the race to bring Artificial Intelligence (AI) to the edge, collaborative intelligence has emerged as a promising way to lighten the computation load on edge devices that run applications based on Deep Neural Networks (DNNs).
Lior Bragilevsky, Ivan V. Bajic
doaj   +1 more source

Taking the 4D Nature of fMRI Data Into Account Promises Significant Gains in Data Completion

IEEE Access, 2021
Functional magnetic resonance imaging (fMRI) is a powerful, noninvasive tool that has significantly contributed to the understanding of the human brain.
Irina Belyaeva, Suchita Bhinge, Qunfang Long, Tulay Adali   +3 more
doaj   +1 more source

Tensor Completion via Smooth Rank Function Low-Rank Approximate Regularization

Remote Sensing, 2023
In recent years, the tensor completion algorithm has played a vital part in the reconstruction of missing elements within high-dimensional remote sensing image data.
Shicheng Yu, Jiaqing Miao, Guibing Li, Weidong Jin, Gaoping Li, Xiaoguang Liu   +5 more
doaj   +1 more source

Traffic Flow Prediction With Missing Data Imputed by Tensor Completion Methods

IEEE Access, 2020
Missing data is inevitable and ubiquitous in intelligent transportation systems (ITSs). A handful of completion methods have been proposed, among which the tensor-based models have been shown to be the most advantageous for missing traffic data ...
Qin Li, Huachun Tan, Yuankai Wu, Linhui Ye, Fan Ding   +4 more
doaj   +1 more source

Rank revealing‐based tensor completion using improved generalized tensor multi‐rank minimization

IET Signal Processing, 2021
The authors address the problem of tensor completion from limited samplings. An improved generalized tubal Kronecker decomposition is first proposed to reveal the tensor structure of the targeted data, and the improved generalized tensor tubal‐rank and ...
Wei Z. Sun, Peng Zhang, Bo Zhao
doaj   +1 more source

Accelerated non-negative tensor completion via integer programming

Frontiers in Applied Mathematics and Statistics, 2023
The problem of tensor completion has applications in healthcare, computer vision, and other domains. However, past approaches to tensor completion have faced a tension in that they either have polynomial-time computation but require exponentially more ...
Wenhao Pan, Wenhao Pan, Anil Aswani, Chen Chen   +3 more
doaj   +1 more source

Tensor Completion via Tensor Networks with a Tucker Wrapper

CoRR, 2020
In recent years, low-rank tensor completion (LRTC) has received considerable attention due to its applications in image/video inpainting, hyperspectral data recovery, etc. With different notions of tensor rank (e.g., CP, Tucker, tensor train/ring, etc.), various optimization based numerical methods are proposed to LRTC.
Yunfeng Cai, Ping Li 0001
openaire   +2 more sources

Covariate-Assisted Sparse Tensor Completion

Journal of the American Statistical Association, 2022
To Appear in Journal of the American Statistical ...
Hilda S. Ibriga, Will Wei Sun
openaire   +2 more sources

Matrix completion and tensor rank [PDF]

Linear and Multilinear Algebra, 2015
In this paper, we show that the low rank matrix completion problem can be reduced to the problem of finding the rank of a certain tensor.
openaire   +2 more sources

The Geometry of Rank-One Tensor Completion [PDF]

SIAM Journal on Applied Algebra and Geometry, 2017
The geometry of the set of restrictions of rank-one tensors to some of their coordinates is studied. This gives insight into the problem of rank-one completion of partial tensors. Particular emphasis is put on the semialgebraic nature of the problem, which arises for real tensors with constraints on the parameters.
Kahle, Thomas, Kubjas, Kaie, Kummer, Mario, Rosen, Zvi   +4 more
openaire   +4 more sources