脱毛 发表于 2025-3-23 12:48:04
https://doi.org/10.1007/978-3-030-52414-2new data representation, we use a new information theoretic criterion referred to as multivariate mutual information to measure the high-order feature combinations with respect to the class labels. Therefore, we construct a coupled feature hypergraph to model the high-order relations among features.FLOAT 发表于 2025-3-23 14:23:25
http://reply.papertrans.cn/39/3880/387998/387998_12.png强化 发表于 2025-3-23 20:57:23
http://reply.papertrans.cn/39/3880/387998/387998_13.pngExposition 发表于 2025-3-23 22:13:49
https://doi.org/10.1057/9780230501737on and also the graph matching could be reduced. We present a consensus method which, given two correspondences between two pairs of attributed graphs generated by separate entities and with different attribute domains, enounces a final correspondence consensus considering the existence of outliers.钉牢 发表于 2025-3-24 06:03:33
http://reply.papertrans.cn/39/3880/387998/387998_15.pngPeculate 发表于 2025-3-24 10:11:36
https://doi.org/10.1007/978-3-322-88117-52 algorithm that enable it to compete with more recently proposed graph matching techniques. Finally, we evaluate the effectiveness of these enhancement by comparing the matching performance both with the original VF2 and with several recent algorithms, using both the widely known MIVIA graph databaANTI 发表于 2025-3-24 13:59:18
Graph-Based Representations in Pattern Recognitionantiquated 发表于 2025-3-24 16:14:45
Approximation of Graph Edit Distance in Quadratic Timeoblem (LSAP). The optimal solution for this simplified GED problem can be computed in cubic time and is eventually used to derive a suboptimal solution for the original GED problem. Yet, for large scale graphs and/or large scale graph sets the cubic time complexity remains a severe handicap of this深渊 发表于 2025-3-24 19:07:40
http://reply.papertrans.cn/39/3880/387998/387998_19.png错 发表于 2025-3-25 01:58:04
An Entropic Edge Assortativity Measurelay a vital role in the structural properties of complex networks. Most of the existing assortativity measures have been developed on the basis of vertex degree information. However, there is a significant amount of additional information residing in the edges in a network, such as the edge directio