Results 31 to 40 of about 4,180,610 (156)
Graph signal processing for machine learning: A review and new perspectives [PDF]
, 2020 The effective representation, processing, analysis, and visualization of large-scale structured data, especially those related to complex domains, such as networks and graphs, are one of the key questions in modern machine learning.
Toni, L +9 more
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Multiway Graph Signal Processing on Tensors [PDF]
, 2020 Graph signal processing (GSP) is an important methodology for studying data residing on irregular structures. As acquired data is increasingly taking the form of multi-way tensors, new signal processing tools are needed to maximally utilize the multi-way
Chi, Eric C, Mishne, Gal, Stanley, Jay S
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A Dual Domain Approach to Graph Signal Processing
, 2023 Graph Signal Processing (GSP) extends Discrete Signal Processing (DSP) to data supported by graphs by redefining traditional DSP concepts like signals, shift, filtering, and Fourier transform among others.
John Shi (4930507)
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Graph Convolutional Neural Networks Sensitivity under Probabilistic Error Model [PDF]
, 2022 Graph Neural Networks (GNNs), particularly Graph Convolutional Neural Networks (GCNNs), have emerged as pivotal instruments in machine learning and signal processing for processing graph-structured data.
Wang, Xinjue +2 more
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NeuroImage, 2022 Brain signatures of functional activity have shown promising results in both decoding brain states, meaning distinguishing between different tasks, and fingerprinting, that is identifying individuals within a large group.
Alessandra Griffa +4 more
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Speaker verification method based on cross-domain attentive feature fusion
Tongxin xuebao, 2023 Aiming at the problem that the lack of structure information among speech signal sample in the front-end acoustic features of speaker verification system, a speaker verification method based on cross-domain attentive feature fusion was proposed.Firstly ...
Zhen YANG +3 more
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Graph signal processing based underwater image enhancement techniques
Engineering Science and Technology, an International Journal, 2022 This paper presents two new methods based on graph signal processing (GSP) techniques to enhance underwater images. The proposed schemes utilize the graph Fourier transform (GFT) and graph wavelet filterbanks in place of the conventional Fourier and ...
Shobha Sharma, Tarun Varma
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Denoising and Destriping Hyperspectral Images Using Double Graph Laplacian Regularizers
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 This article proposes a novel hyperspectral image (HSI) denoising and destriping method based on graph signal processing that fully exploits the HSI properties.
Fang Yang, Xin Chen, Zhi Zhang, Li Chai
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Graph signal processing for narrowband direction of arrival estimation [PDF]
, 2023 For direction of arrival (DOA) estimation based on graph signal processing (GSP), it has been assumed that there is a phase shift between adjacent snapshots of the received signals.
Mitchell, P.D. +3 more
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Leak detection in water distribution networks based on graph signal processing of pressure data
Journal of Hydroinformatics, 2023 Leakages in water distribution networks (WDNs) affect the hydraulic state of the entire or a large part of the network. Statistical correlation computed among pressure sensors monitoring network nodes aids the detection and localization of such leaks ...
Daniel Bezerra Barros +3 more
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