Convolution,Image coding,Image edge detection,Tensile stress,Interpolation,Spectral analysisLearning and processing of signals over hypergraph models have gained substantial traction owing to the ability of hyp
We present results that show that the algorithm is robust and performs well in presence of occlusions and incorrect segmentations.Bikash Sabata aJ.K. Aggarwal bTime-Varying Image Processing and Moving Object Recognition
To overcome this limitation, Graph Neural Networks [8], [22] (GNNs) have been introduced to perform message passing and pooling operations on nodes for processing non-grid structured data. However, GNNs struggle with high-order feature relationships. Recently, the HyperGraph Neural Network [10],...
Boutekkouk F (2021) Digital color image processing using intuitionistic fuzzy hypergraphs. Int J Comput vis Image Process 11(3):21–40 Google Scholar Chen B, Guo X, Liu G (2011) Prediction of concrete properties based on rough sets and support vector machine method. Shuili Fadian Xuebao ...
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image processingimage modelsegmentationedge detectionnoise cancellationhypergraphgraphneighborhood hypergraphAn appropriate image representation induces some good image treatment algorithms. Hypergraph theory is a theory of finite combinatorial sets, modeling a lot of problems of operational research and ...
The invention relates to a hypergraph model-based remote sensing image semantic similarity measurement method, which belongs to the technical field of remote sensing image processing. A hypergraph model is used for modeling each phase remote sensing image, a vertex and a hyperedge in the hypergraph...
Signal ProcessingC. Hong, X. Chen, X. Wang, C. Tang, Hypergraph regularized autoencoder for image-based 3D human pose recovery, Signal Processing. (2016). doi:10.1016/j.sigpro.2015.10.004.C. Hong, X. Chen, X. Wang, C. Tang, Hypergraph regularized autoencoder for image-based 3d ...
Multi-View Gait Image Generation for Cross-View Gait Recognition 2021, IEEE Transactions on Image Processing Robust gait recognition: A comprehensive survey 2019, IET Biometrics Robust arbitrary-view gait recognition based on 3D partial similarity matching 2017, IEEE Transactions on Image Processing View...
without substantially increasing complexity. Through extensive experimentation across nine image datasets, we have demonstrated the effectiveness and superiority of the proposed algorithm. Comparative analyses, involving several state-of-the-art algorithms, were conducted, thereby elucidating the efficacy and ...