Automatic colourization of grayscale images based on tensor decomposition
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5419-x
Abstract: In this paper a colourizing technique based on some tensor properties is proposed. Toward this goal, it is clarified that tensor decomposition possesses the ability of extracting and gathering overall colour information. The methodology considers… read more here.
Keywords: colour information; based tensor; tensor decomposition;
Multi-exposure image fusion based on tensor decomposition
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09131-x
Abstract: In this paper, a multi-exposure image fusion (MEF) method is proposed based on tensor decomposition and saliency model. The main innovation of the proposed method is to explore a tensor domain for MEF and define… read more here.
Keywords: based tensor; image; tensor; multi exposure ... See more keywords
Transferred CNN Based on Tensor for Hyperspectral Anomaly Detection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2962582
Abstract: Nowadays, deep learning (DM) and tensor theory have become research hotspot in hyperspectral images (HSIs) processing. In this letter, transferred convolutional neural network (CNN) based on tensor (TCNNT) is proposed for hyperspectral anomaly detection (AD).… read more here.
Keywords: tensor; hyperspectral anomaly; anomaly detection; cnn based ... See more keywords
Fractional Fourier Transform and Transferred CNN Based on Tensor for Hyperspectral Anomaly Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3072249
Abstract: Most of the algorithms for hyperspectral anomaly detection (AD) are based on the original spectral signatures which may suffer noise contamination. In recent years, some AD algorithms based on deep learning (DL) and tensor have… read more here.
Keywords: based tensor; hyperspectral anomaly; anomaly detection; transferred cnn ... See more keywords
Cloud-Edge Collaborative Scalable Tucker-Based Tensor Computations for Ubiquitous Consumer Electronics Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2025.3563698
Abstract: With the continuous expansion of consumer electronics applications, various data generated from ubiquitous consumer electronics devices are experiencing exponential growth. By leveraging the significant advantages of multidimensional association analysis, tensor-based big data technology has proven… read more here.
Keywords: tensor; tucker based; cloud edge; consumer electronics ... See more keywords
A Fast Tensor Completion Method Based on Tensor QR Decomposition and Tensor Nuclear Norm Minimization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2021.3130977
Abstract: Currently, the tensor completion problem has been paid high attention in the machine learning, especially in the field of computer vision and image processing. The low-rank tensor completion methods based on the tensor singular value… read more here.
Keywords: completion; tensor completion; based tensor; nuclear norm ... See more keywords
FedPTA: Prior-Based Tensor Approximation for Detecting Malicious Clients in Federated Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3451359
Abstract: Federated learning (FL) is vulnerable to poisoning attacks, where malicious clients tamper their model parameters to deteriorate the global model. Existing methods for defending against poisoning attacks primarily rely on identifying malicious clients, but struggle… read more here.
Keywords: fedpta prior; tensor; malicious clients; based tensor ... See more keywords
A Nonlocal Similarity Learning-Based Tensor Completion Model With Its Application in Intelligent Transportation System
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3308938
Abstract: Predicting the traffic flow has been one of the most important applications in intelligent transportation system. However, the missing information in the traffic data will directly affect the final performance, and it has evolved into… read more here.
Keywords: tensor completion; based tensor; transportation system; intelligent transportation ... See more keywords
TREAT: Temporal and Relational Attention-Based Tensor Representation Learning for Ethereum Phishing Users
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2025.3568277
Abstract: The Ethereum blockchain platform has witnessed a surge in crypto-cybercrimes, particularly phishing attacks, resulting in significant financial losses. Analyzing the Ethereum transaction network to detect phishing users poses a set of critical challenges, including network… read more here.
Keywords: based tensor; representation; attention; representation learning ... See more keywords