Proximal alternating minimization pam

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Quaternion Matrix Factorization for Low-Rank Quaternion Matrix Completion

Mathematics, 2023
The main aim of this paper is to study quaternion matrix factorization for low-rank quaternion matrix completion and its applications in color image processing.
Jiang-Feng Chen +3 more
doaj +1 more source

T-Hy-Demosaicing: Hyperspectral Reconstruction Via Tensor Subspace Representation Under Orthogonal Transformation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This article aims to solve the problem of the hyperspectral imagery (HSI) demosaicing under a novel subsampling hyperspectral sensing strategy. The existing method utilizes the periodic structure of subsampling to estimate a fixed subspace in matrix form
Shan-Shan Xu, Ting-Zhu Huang, Jie Lin, Yong Chen +3 more
doaj +1 more source

FastTWD: A MATLAB package for matrix-free CPU/GPU tensor wheel decomposition

SoftwareX
Tensor wheel (TW) decomposition is an emerging tensor-network format for compact representation of multidimensional data. Owing to its wheel topology, TW connects several important tensor formats, including CP, Tucker, tensor-train, and tensor-ring ...
Rafał Zdunek
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Nonconvex Nonlinear Transformation of Low-Rank Approximation for Tensor Completion

Applied Sciences
Recovering incomplete high-dimensional data to create complete and valuable datasets is the main focus of tensor completion research, which lies at the intersection of mathematics and information science.
Yifan Mei, Xinhua Su, Huixiang Lin, Huanmin Ge +3 more
doaj +1 more source

Robust Dolphin Whistle Detection Based on Dually-Regularized Non-Negative Matrix Factorization in Passive Acoustic Monitoring

Journal of Marine Science and Engineering
Underwater passive acoustic monitoring (PAM) serves as a core approach pervasively applied to the long-term, non-invasive detection of biological acoustic signals.
Lei Li +5 more
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Generalized Logarithmic Tensor Nuclear Norm for Hyperspectral-Multispectral Image Fusion via Tensor Ring Decomposition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The fusion of a low-spatial-resolution hyperspectral image (LR-HSI) and a high-spatial-resolution multispectral image (HR-MSI) is an effective way to generate a high-resolution hyperspectral image (HR-HSI).
Jun Zhang, Mengling He, Chengzhi Deng
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Traffic Data Imputation via Bilateral Tensor Ring Decomposition and Temporal Smoothing

IEEE Access
Spatiotemporal traffic data, such as speed and flow measurements, often suffer from random and structured missingness caused by detector failures, communication interruptions, and outlier removal, which degrade the reliability of traffic-state estimation,
Yanlin Chen
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Hyperspectral Image Mixed Noise Removal via Double Factor Total Variation Nonlocal Low-Rank Tensor Regularization

Remote Sensing
A hyperspectral image (HSI) is often corrupted by various types of noise during image acquisition, e.g., Gaussian noise, impulse noise, stripes, deadlines, and more. Thus, as a preprocessing step, HSI denoising plays a vital role in many subsequent tasks.
Yongjie Wu, Wei Xu, Liangliang Zheng
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Multiscale Fully Connected Tensor Network Decomposition With NSST Guidance for Thick Cloud Removal

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Thick cloud coverage presents a significant challenge for the analysis and application of multitemporal remote sensing imagery. Although existing cloud removal methods attempt to exploit spatio-spectral-temporal correlations, they often fail to ...
Ming-Qing Li +5 more
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Allosteric Modulation of the CB1 Cannabinoid Receptor by Cannabidiol-A Molecular Modeling Study of the N-Terminal Domain and the Allosteric-Orthosteric Coupling. [PDF]

Molecules, 2021
Jakowiecki J +5 more
europepmc +1 more source

proximal alternating minimization