Results 21 to 30 of about 1,165,616 (316)
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
Proceedings of the AAAI Conference on Artificial IntelligenceTransformer-based and MLP-based methods have emerged as leading approaches in time series forecasting (TSF). However, real-world time series often show different patterns at different scales, and future changes are shaped by the interplay of these ...
Yifan Hu +4 more
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Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
Electric Power Systems ResearchRapid progress in machine learning and deep learning has enabled a wide range of applications in the electricity load forecasting of power systems, for instance, univariate and multivariate short-term load forecasting.
Yuqi Jiang, Yan Li, Yize Chen
semanticscholar +3 more sources
Journal of Marine Science and Engineering, 2023 Visual object detection is an essential task for the intelligent navigation of an Unmanned Surface Vehicle (USV), which can sense the obstacles while navigating.
Zhiguo Zhou +4 more
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Fast multi-scale detail decomposition via accelerated iterative shrinkage [PDF]
SIGGRAPH Asia 2013 Technical Briefs, 2013 We present a fast solution for performing multi-scale detail decomposition. The proposed method is based on an accelerated iterative shrinkage algorithm, able to process high definition color images in real-time on modern GPUs. Our strategy to accelerate the smoothing process is based on the use of first order proximal operators.
Badri, Hicham +2 more
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Multi-scale proper orthogonal decomposition of complex fluid flows [PDF]
Journal of Fluid Mechanics, 2019 Data-driven decompositions are becoming essential tools in fluid dynamics, allowing for tracking the evolution of coherent patterns in large datasets, and for constructing low-order models of complex phenomena. In this work, we analyse the main limits of two popular decompositions, namely the proper orthogonal decomposition (POD) and the dynamic mode ...
M. A. Mendez, M. Balabane, J.-M. Buchlin
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Multi-Focus Color Image Fusion Based on Quaternion Multi-Scale Singular Value Decomposition
Frontiers in Neurorobotics, 2021 Most existing multi-focus color image fusion methods based on multi-scale decomposition consider three color components separately during fusion, which leads to inherent color structures change, and causes tonal distortion and blur in the fusion results.
Hui Wan +5 more
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Agile multi-scale decompositions for automatic image registration [PDF]
SPIE Proceedings, 2016 In recent works, the first and third authors developed an automatic image registration algorithm based on a multiscale hybrid image decomposition with anisotropic shearlets and isotropic wavelets. This prototype showed strong performance, improving robustness over registration with wavelets alone.
James M. Murphy +2 more
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Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function
Frontiers in Neurorobotics, 2022 High-dynamic-range (HDR) image has a wide range of applications, but its access is limited. Multi-exposure image fusion techniques have been widely concerned because they can obtain images similar to HDR images. In order to solve the detail loss of multi-
Ke Xu +3 more
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FSADFuse: A Novel Fusion Approach to Infrared and Visible Images
IEEE Access, 2021 To address the problems of edge blur and weak detail resolution when fusing infrared and visible images with traditional methods, a novel image fusion approach based on fast super-resolution convolutional neural network and anisotropic diffusion is ...
Shuai Hao +5 more
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IET Image Processing, 2021 Fusion and noise suppression of medical images are becoming increasingly difficult to be ignored in image processing, and this technique provides abundant information for the clinical diagnosis and treatment.
Xuefeng Zhang, Hui Yan
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