Results 41 to 50 of about 1,165,616 (316)
, 2020 We introduce a dynamical low-rank method to reduce the computational complexity for solving the multi-scale multi-dimensional linear transport equation. The method is based on a macro-micro decomposition of the equation.
Einkemmer, Lukas +2 more
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Infrared and Visible Image Fusion: Methods, Datasets, Applications, and Prospects
Applied Sciences, 2023 Infrared and visible light image fusion combines infrared and visible light images by extracting the main information from each image and fusing it together to provide a more comprehensive image with more features from the two photos.
Yongyu Luo, Zhongqiang Luo
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Multi-Scale FPGA-Based Infrared Image Enhancement by Using RGF and CLAHE
Sensors, 2023 Infrared sensors capture thermal radiation emitted by objects. They can operate in all weather conditions and are thus employed in fields such as military surveillance, autonomous driving, and medical diagnostics.
Jialong Liu +6 more
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Sensors, 2022 Taking advantage of the functional complementarity between infrared and visible light sensors imaging, pixel-level real-time image fusion based on infrared and visible light images of different resolutions is a promising strategy for visual enhancement ...
Ling Zhang +4 more
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Beyond Low Rank + Sparse: Multi-scale Low Rank Matrix Decomposition
, 2016 We present a natural generalization of the recent low rank + sparse matrix decomposition and consider the decomposition of matrices into components of multiple scales.
Lustig, Michael, Ong, Frank
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Multi-scale attention mechanism network for Nonintrusive load decomposition
Journal of Physics: Conference Series, 2023 Abstract Nonintrusive load decomposition is an important prerequisite to realize intelligent power monitoring and a key application of the smart grid. The existing algorithms cannot achieve the decomposition effect with high accuracy and have poor performance in low-frequency loads.
Weidong Tang +3 more
openaire +1 more source
Multi-Path Alpha-Fair Resource Allocation at Scale in Distributed Software Defined Networks [PDF]
, 2018 The performance of computer networks relies on how bandwidth is shared among different flows. Fair resource allocation is a challenging problem particularly when the flows evolve over time. To address this issue, bandwidth sharing techniques that quickly
Allybokus, Zaid +3 more
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IET Computer Vision, 2017 This study presents a spatio‐temporal motion descriptor that is computed from a spatially‐constrained decomposition and applied to online classification and recognition of human activities.
Fabio Martínez +2 more
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Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
, 2019 Dimensionality reduction is an essential technique for multi-way large-scale data, i.e., tensor. Tensor ring (TR) decomposition has become popular due to its high representation ability and flexibility.
Cao, Jianting +3 more
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Image Fusion Method Based on Structure-Based Saliency Map and FDST-PCNN Framework
IEEE Access, 2019 Image fusion has become an active and promising research topic in image processing. It provides an effective way to combine several source images to form a composite image with more detailed information than any one of the source images.
Jiang Qian +4 more
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