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Vertex-Frequency Graph Signal Processing: A review
[article]
2019
arXiv
pre-print
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This all represents a comprehensive account of the relation of general vertex-frequency analysis with classical time-frequency analysis, and important but missing link for more advanced applications of ...
graphs signal processing. ...
Conclusion Vertex-frequency analysis, as an approach to the localized analysis of graph signals, is reviewed in this paper. ...
arXiv:1907.03471v2
fatcat:hfjjoav2mbey5bkdb4zgwvs7pi
Graph convolutional networks: a comprehensive review
2019
Computational Social Networks
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In this survey, despite numerous types of graph neural networks, we conduct a comprehensive review specifically on the emerging field of graph convolutional networks, which is one of the most prominent ...
Thereby, a potential solution is to learn the representation of graphs in a low-dimensional Euclidean space, such that the graph properties can be preserved. ...
Shuman et al. give a comprehensive overview of graph signal processing, including the common operations and analyses on graphs [20] . ...
doi:10.1186/s40649-019-0069-y
fatcat:usvlugxj6jcrzesm7dthrecp3m
Graph Neural Network: A Comprehensive Review on Non-Euclidean Space
2021
IEEE Access
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This review provides a comprehensive overview of the state-of-the-art methods of graphbased networks from a deep learning perspective. ...
Graph networks provide a generalized form to exploit non-euclidean space data. A graph can be visualized as an aggregation of nodes and edges without having any order. ...
The graph filtering process can be divided into subfiltering methods -frequency filtering and vertex filtering. ...
doi:10.1109/access.2021.3071274
fatcat:yufufsrgqvgyzhxljgkmejuyhe
Nonnegative Matrix Factorization: A Comprehensive Review
2013
IEEE Transactions on Knowledge and Data Engineering
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Nonnegative Matrix Factorization (NMF), a relatively novel paradigm for dimensionality reduction, has been in the ascendant since its inception. ...
NMF (CNMF), Structured NMF (SNMF), and Generalized NMF (GNMF), upon which the design principles, characteristics, problems, relationships, and evolution of these algorithms are presented and analyzed comprehensively ...
Le Li and the reviewers for their helpful comments and suggestions. This work was supported by National Natural Science Foundation of China under Grant 61171118. ...
doi:10.1109/tkde.2012.51
fatcat:ocxepl7gdrhszawqhsj36qhpme
Effective Field Theories of Post-Newtonian Gravity: A comprehensive review
[article]
2018
arXiv
pre-print
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The review is aimed at a broad audience, from general readers new to the field, to specialists and experts in related subjects. ...
it has proved to supply a robust methodology to boost the progress in PN theory. ...
The three-loop topologies at O(G 4 ) (out of the total 32 topologies at this order): (a) Three cubic vertices; (b) One cubic vertex and one quartic vertex; (c) One quintic vertex. ...
arXiv:1807.01699v2
fatcat:qd5sncb2zre3lg3fyxyyn4njye
Research Communities in cyber security: A Comprehensive Literature Review
[article]
2021
arXiv
pre-print
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In order to provide a coherent overview of cyber security research, the Scopus academic abstract and citation database was mined to create a citation graph of 98,373 authors active in the field between ...
The Louvain community detection algorithm was applied to the graph in order to identify existing research communities. ...
to obtain a comprehensive grasp of this league. ...
arXiv:2104.13196v1
fatcat:napenkh4nna4vamt3jmpieyvuq
Moving Objects Detection with a Moving Camera: A Comprehensive Review
[article]
2020
arXiv
pre-print
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During about 30 years, a lot of research teams have worked on the big challenge of detection of moving objects in various challenging environments. ...
A reminder of methods for static cameras is provided as well as the challenges with both static and moving cameras. Publicly available datasets and evaluation metrics are also surveyed in this paper. ...
Signal processing models Based on signal processing, these models considered temporal history of a pixel as 1-D dimensional signal. ...
arXiv:2001.05238v1
fatcat:itswnqe3g5ey7c2apy35xqjjza
Methodological Note: Neurofeedback: A Comprehensive Review on System Design, Methodology and Clinical Applications
2016
Basic and Clinical Neuroscience
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Neurofeedback is a kind of biofeedback, which teaches self-control of brain functions to subjects by measuring brain waves and providing a feedback signal. ...
EEG electrode placements i.e. standard recording channels in the frontal, temporal, central, and occipital lobes; (3) Electrode montages (unipolar, bipolar); (4) Types of neurofeedback i.e. frequency, ...
CrossMark illustration, the power of a signal in a frequency band can be shown by a varying bar graph. ...
doi:10.15412/j.bcn.03070208
pmid:27303609
pmcid:PMC4892319
fatcat:ed7t4tvmurftfpth3l26shfwxm
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review
[article]
2022
arXiv
pre-print
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This paper reviews the applications of image processing technology based on MV in lymphoma histopathological images in recent years, including segmentation, classification and detection. ...
Fig. 28 shows the process of constructing the concave vertex graph. ...
These points construct a concave vertex graph. Finally, the touching cells are separated by recursively calculating the optimal path in the concave vertex graph after minimizing a cost function. ...
arXiv:2201.08550v2
fatcat:tzc4oiurzngkrlke4w4zt4f26u
Graph Signal Processing – Part II: Processing and Analyzing Signals on Graphs
[article]
2019
arXiv
pre-print
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graph domain of a signal. ...
Localized graph signal analysis in the joint vertex-spectral domain is referred to as the vertex-frequency analysis, since it can be considered as an extension of classical time-frequency analysis to the ...
For completeness, we first provide a short review of WSS definitions in classical signal processing, together with their properties. ...
arXiv:1909.10325v1
fatcat:dbqmdg3sobaaxaldsit5dp6h2a
Graph Signal Processing: Dualizing GSP Sampling in the Vertex and Spectral Domains
[article]
2022
arXiv
pre-print
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This paper shows that in fact one can develop a unified graph signal sampling theory with analogous interpretations in both domains just like sampling in traditional DSP. ...
To achieve it, we introduce a spectral shift M acting in the spectral domain rather than shift A that acts in the vertex domain. ...
Recently, [5] reviews comprehensively the existing methods for graph sampling. ...
arXiv:2103.11020v3
fatcat:nbjkxfqsc5cjnkrarpssbyjqgy
The Companion Model – a Canonical Model in Graph Signal Processing
[article]
2022
arXiv
pre-print
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This paper introduces a canonical graph signal model defined by a canonical graph and a canonical shift, the companion graph and the companion shift. ...
The GSP canonical model comes closest to the discrete signal processing (DSP) time signal models: the structure of the companion shift decomposes into a line shift and a signal continuation just like the ...
Brief review of the literature. The GSP literature is vast, by now covering many topics in processing graph signals. ...
arXiv:2203.13791v1
fatcat:mci63yfa2vbelb6i6cxtygjlcu
Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review
2019
Sensors
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This paper brings a comprehensive review of recent trends and possibilities of CAOS systems. ...
This complex review is focused on three fundamental aspects of CAOS systems: their essential components, types of CAOS systems, and mechanical tools used in CAOS systems. ...
Sensors 2019 , 2019 19, x FOR PEER REVIEW 15 of 34
Figure 6 . 6 Process of the bone morphing: (a) landmarks acquisition, (b) calculation of the morphed model and (c) verification procedure of the final ...
doi:10.3390/s19235199
pmid:31783631
pmcid:PMC6929084
fatcat:khnqsovppbh3rjo6mc35vttrw4
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
[article]
2021
arXiv
pre-print
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Due to irregular sampling patterns of most geometric data, traditional image/video processing methodologies are limited, while Graph Signal Processing (GSP) -- a fast-developing field in the signal processing ...
community -- enables processing signals that reside on irregular domains and plays a critical role in numerous applications of geometric data from low-level processing to high-level analysis. ...
REVIEW: GRAPH SIGNAL PROCESSING A. ...
arXiv:2008.01918v3
fatcat:54ankltzznerpo5t5p3lkezvzu
Bandlimited graph signal reconstruction by diffusion operator
2016
EURASIP Journal on Advances in Signal Processing
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Signal processing on graphs extends signal processing concepts and methodologies from the classical signal processing theory to data indexed by general graphs. ...
For a bandlimited graph signal, the unknown data associated with unsampled vertices can be reconstructed from the sampled data by exploiting the spatial relationship of graph signal. ...
Acknowledgements The authors would like to thank the editor and the reviewers for constructive comments and suggestions that led to improvements in the manuscript.
Author details ...
doi:10.1186/s13634-016-0421-4
fatcat:gihkcixjnretbmjuigahzlsl7e
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