Multiscale feature extraction from the perspective of graph for hob fault diagnosis using spectral graph wavelet transform combined with improved random forest
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109178
Abstract: Abstract The hob forms key component in gear hobbing machine and its health condition directly affects the reliability and safety of entire machine. This paper proposes a multiscale feature extraction scheme based on spectral graph… read more here.
Keywords: hob; feature extraction; graph; spectral graph ... See more keywords
On a two-truths phenomenon in spectral graph clustering
Sign Up to like & getrecommendations! Published in 2019 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.1814462116
Abstract: Significance Spectral graph clustering—clustering the vertices of a graph based on their spectral embedding—is of significant current interest, finding applications throughout the sciences. But as with clustering in general, what a particular methodology identifies as… read more here.
Keywords: spectral embedding; spectral graph; two truths; graph clustering ... See more keywords
Spectral graph wavelet regularization and adaptive wavelet for the backward heat conduction problem
Sign Up to like & getrecommendations! Published in 2020 at "Inverse Problems in Science and Engineering"
DOI: 10.1080/17415977.2020.1797002
Abstract: This paper proposes a new regularization technique using spectral graph wavelet for backward heat conduction problem (BHCP) on the graph. The method uses the fourth-order compact difference for an approximation of differential operators. Meanwhile, the… read more here.
Keywords: graph wavelet; spectral graph; wavelet backward; graph ... See more keywords
Global spectral graph wavelet signature for surface analysis of carpal bones
Sign Up to like & getrecommendations! Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aaa71a
Abstract: Quantitative shape comparison is a fundamental problem in computer vision, geometry processing and medical imaging. In this paper, we present a spectral graph wavelet approach for shape analysis of carpal bones of the human wrist.… read more here.
Keywords: spectral graph; graph wavelet; analysis; carpal bones ... See more keywords
SF-SGL: Solver-Free Spectral Graph Learning From Linear Measurements
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3198513
Abstract: This work introduces a highly scalable spectral graph densification (SGL) framework for learning resistor networks with linear measurements, such as node voltages and currents. We show that the proposed graph learning approach is equivalent to… read more here.
Keywords: solver free; spectral graph; linear measurements; voltage ... See more keywords
Structure-Attribute-Based Social Network Deanonymization With Spectral Graph Partitioning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3082901
Abstract: Online social networks have gained tremendous popularity and have dramatically changed the way we communicate in recent years. However, the publishing of social network data raises more and more privacy concerns. To protect user privacy,… read more here.
Keywords: social network; network; graph partitioning; spectral graph ... See more keywords
Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3199240
Abstract: Establishing cleaner energy generation, therefore, improving the sustainability of the power system is a crucial task in this century, and one of the key strategies being pursued is to shift the dependence on fossil fuel… read more here.
Keywords: system; intentional islanding; hybrid energy; spectral graph ... See more keywords
EIT Imaging Regularization Based on Spectral Graph Wavelets
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2716825
Abstract: The objective of electrical impedance tomographic reconstruction is to identify the distribution of tissue conductivity from electrical boundary conditions. This is an ill-posed inverse problem usually solved under the finite-element method framework. In previous studies,… read more here.
Keywords: spectral graph; eit imaging; wavelet transforms; sparse regularization ... See more keywords
Analysis of the Spatio-Temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2022.3193252
Abstract: The rapid spread of COVID-19 disease has had a significant impact on the world. In this paper, we study COVID-19 data interpretation and visualization using open-data sources for 351 cities and towns in Massachusetts from… read more here.
Keywords: temporal dynamics; spectral graph; analysis spatio; graph wavelet ... See more keywords
Learning of robust spectral graph dictionaries for distributed processing
Sign Up to like & getrecommendations! Published in 2018 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-018-0584-2
Abstract: We consider the problem of distributed representation of signals in sensor networks, where sensors exchange quantized information with their neighbors. The signals of interest are assumed to have a sparse representation with spectral graph dictionaries.… read more here.
Keywords: quantization noise; spectral graph; graph dictionaries; graph ... See more keywords
Spectral Graph Wavelet Based Image Steganography Using SVD and Arnold Transform
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380422
Abstract: Steganography is the process of concealing sensitive information within cover medium. This study offers an efficient and safe innovative image steganography approach based on graph signal processing (GSP). To scramble the secret image, Arnold cat… read more here.
Keywords: graph wavelet; image; spectral graph; steganography ... See more keywords