Results 51 to 60 of about 32,468 (150)
A Fuzzy Graph Based Chemometrics Method for Gelatin Authentication
Mathematics, 2020 Graph theory is a well-established concept that is widely used in numerous applications such as in biology, chemistry and network analysis. The advancement in the theory of graph has led to the development of a new concept called fuzzy autocatalytic set.
Nurfarhana Hassan +3 more
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Graph fourier transform with negative edges for depth image coding [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 Recent advent in graph signal processing (GSP) has led to the development of new graph-based transforms and wavelets for image / video coding, where the underlying graph describes inter-pixel correlations. In this paper, we develop a new transform called signed graph Fourier transform (SGFT), where the underlying graph G contains negative edges that ...
Weng-Tai Su, Gene Cheung, Chia-Wen Lin
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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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NeTaGFT: A similarity network‐based method for trait analysis
Methods in Ecology and EvolutionWith the determination of numerous viral and bacterial genome sequences, sequence‐trait relationships, such as the evolution of virulence and associations to geographic location or host, are now being studied.
Hirotaka Matsumoto, Motomu Matsui
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Graph Fourier Transformer with Structure-Frequency Information
ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Graph Transformers (GTs) have shown advantages in numerous graph structure tasks but their self-attention mechanism ignores the generalization bias of graphs, with existing methods mainly compensating for this bias from aspects like position encoding, attention bias and relative distance yet still having sub-optimal performance and being insufficient ...
Yonghui Zhai +4 more
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STFGCN: Spatio-Temporal Fusion Graph Convolutional Networks for Subway Traffic Prediction
IEEE AccessMetro passenger flow prediction is a crucial and challenging task in the intelligent transportation system of subways. It serves as the foundation for achieving intelligent transportation in subway systems and holds significant importance in practical ...
Xiaoxi Zhang +5 more
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The Graph Fractional Fourier Transform in Hilbert Space
IEEE Transactions on Signal and Information Processing over Networks16 pages, 15 ...
Yu Zhang 0228, Bing-Zhao Li 0001
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Geary’s c for Multivariate Spatial Data
MathematicsGeary’s c is a prominent measure of spatial autocorrelation in univariate spatial data. It uses a weighted sum of squared differences. This paper develops Geary’s c for multivariate spatial data. It can describe the similarity/discrepancy between vectors
Hiroshi Yamada
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GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
CoRR20 pages, 7 figures, 11 tables, Accepted by ICML ...
Guoguo Ai +4 more
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Graph Equivalence Classes for Spectral Projector-Based Graph Fourier Transforms
CoRR, 2017 We define and discuss the utility of two equivalence graph classes over which a spectral projector-based graph Fourier transform is equivalent: isomorphic equivalence classes and Jordan equivalence classes. Isomorphic equivalence classes show that the transform is equivalent up to a permutation on the node labels.
Joya A. Deri, José M. F. Moura
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