Results 1 to 10 of about 1,682 (162)

Color Image Restoration Using Sub-Image Based Low-Rank Tensor Completion [PDF]

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
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ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion [PDF]

BMC Genomics, 2021
Background With single-cell RNA sequencing (scRNA-seq) methods, gene expression patterns at the single-cell resolution can be revealed. But as impacted by current technical defects, dropout events in scRNA-seq lead to missing data and noise in the gene ...
Xiutao Pan, Zhong Li, Shengwei Qin, Minzhe Yu, Hang Hu   +4 more
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A QoS Prediction Approach Based on Truncated Nuclear Norm Low-Rank Tensor Completion [PDF]

Sensors, 2022
With the rise of mobile edge computing (MEC), mobile services with the same or similar functions are gradually increasing. Usually, Quality of Service (QoS) has become an indicator to measure high-quality services.
Hong Xia, Qingyi Dong, Jiahao Zheng, Yanping Chen, Cong Gao, Zhongmin Wang   +5 more
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Efficient enhancement of low-rank tensor completion via thin QR decomposition [PDF]

Frontiers in Big Data
Low-rank tensor completion (LRTC), which aims to complete missing entries from tensors with partially observed terms by utilizing the low-rank structure of tensors, has been widely used in various real-world issues.
Yan Wu, Yunzhi Jin
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A prediction model for soil heavy metal content based on improved tensor completion [PDF]

Scientific Reports
As socio-economic activities intensify, soil heavy metal pollution increasingly threatens both the environment and human health. This paper presents a novel method for predicting soil heavy metal content using an advanced tensor completion algorithm. The
Zhangang Wang, Wenjie Li, Tianhe Yun, Jiaxiang Qi   +3 more
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A Novel Tensor Ring Sparsity Measurement for Image Completion [PDF]

Entropy
As a promising data analysis technique, sparse modeling has gained widespread traction in the field of image processing, particularly for image recovery.
Junhua Zeng, Yuning Qiu, Yumeng Ma, Andong Wang, Qibin Zhao   +4 more
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Nonconvex Low-Rank Tensor Completion from Noisy Data [PDF]

Operations Research, 2022
This paper investigates a problem of broad practical interest, namely, the reconstruction of a large-dimensional low-rank tensor from highly incomplete and randomly corrupted observations of its entries. Although a number of papers have been dedicated to this tensor completion problem, prior algorithms either are computationally too expensive for ...
Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen   +3 more
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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
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Traffic Data Restoration Method Based on Tensor Weighting and Truncated Nuclear Norm [PDF]

Jisuanji kexue, 2023
The problem of missing data seriously affects a series of activities in intelligent transportation systems,such as monitoring traffic dynamics,predicting traffic flow,and deploying traffic planning through data.Therefore,a traffic flow data ...
WU Jiangnan, ZHANG Hongmei, ZHAO Yongmei, ZENG Hang, HU Gang
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HOSVD-Based Algorithm for Weighted Tensor Completion

Journal of Imaging, 2021
Matrix completion, the problem of completing missing entries in a data matrix with low-dimensional structure (such as rank), has seen many fruitful approaches and analyses.
Zehan Chao, Longxiu Huang, Deanna Needell   +2 more
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