Results 31 to 40 of about 3,813,510 (369)
Low-Rank Based Image Analyses for Pathological MR Image Segmentation and Recovery
Frontiers in Neuroscience, 2019 The presence of pathologies in magnetic resonance (MR) brain images causes challenges in various image analysis areas, such as registration, atlas construction and atlas-based segmentation.
Chuanlu Lin +3 more
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Decomposition of Matrix under Neutrosophic Environment [PDF]
Neutrosophic Sets and Systems, 2019 Matrices help for the effective representation of systems of linear equations and analyzing any sort of data. The decomposition of any matrix allows for the efficient implementation of matrix-based algorithms.
Muhammad Kashif +3 more
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A new integrated framework for the identification of potential virus–drug associations
Frontiers in Microbiology, 2023 IntroductionWith the increasingly serious problem of antiviral drug resistance, drug repurposing offers a time-efficient and cost-effective way to find potential therapeutic agents for disease.
Jia Qu +4 more
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A Twice Optimizing Net With Matrix Decomposition for Hyperspectral and Multispectral Image Fusion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Fusing a low-resolution hyperspectral (LRHS) image and a high-resolution multispectral (HRMS) image to generate a high-resolution hyperspectral (HRHS) image has grown a significant and attractive application in remote sensing fields.
Dunbin Shen +4 more
semanticscholar +1 more source
A New Method of Kronecker Product Decomposition
Journal of Mathematics, 2023 Kronecker product decomposition is often applied in various fields such as particle physics, signal processing, image processing, semidefinite programming, quantum computing, and matrix time series analysis.
Yi Wu
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Guided Semi-Supervised Non-Negative Matrix Factorization
Algorithms, 2022 Classification and topic modeling are popular techniques in machine learning that extract information from large-scale datasets. By incorporating a priori information such as labels or important features, methods have been developed to perform ...
Pengyu Li +6 more
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Fast Superpixel Based Subspace Low Rank Learning Method for Hyperspectral Denoising
IEEE Access, 2018 Sequential data, such as video frames and event data, have been widely applied in the realworld. As a special kind of sequential data, hyperspectral images (HSIs) can be regarded as a sequence of 2-D images in the spectral dimension, which can be ...
Le Sun +5 more
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Nonlinear model order reduction via Dynamic Mode Decomposition [PDF]
, 2016 We propose a new technique for obtaining reduced order models for nonlinear dynamical systems. Specifically, we advocate the use of the recently developed Dynamic Mode Decomposition (DMD), an equation-free method, to approximate the nonlinear term.
Alla, Alessandro, Kutz, J. Nathan
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Instantons and Merons in Matrix Models [PDF]
, 2006 Various branches of matrix model partition function can be represented as intertwined products of universal elementary constituents: Gaussian partition functions Z_G and Kontsevich tau-functions Z_K.
A. Alexandrov +74 more
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IEEE Access, 2019 Opportunistic network enables users to form an instant network for data sharing, which is a type of Ad-hoc network in nature, thus depends on cooperation between nodes to complete message transmission.
Peng Zheng +3 more
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