A Graph Embedding Method Using the Jensen-Shannon Divergence

Author:

Bai Lu,Hancock Edwin R.,Han Lin

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Riesen, K., Bunke, H.: Graph Classification and Clustering Based on Vector Space Embedding. World Scientific Press (2010)

2. Pekalska, E., Duin, R.P.W., Paclík, P.: Prototype Selection for Dissimilarity-based Classifiers. Pattern Recognition 39, 189–208 (2006)

3. Martins, A.F., Smith, N.A., Xing, E.P., Aguiar, P.M., Figueiredo, M.A.: Nonextensive Information Theoretic Kernels on Measures. Journal of Machine Learning Research 10, 935–975 (2009)

4. Bai, L., Hancock, E.R.: Graph Kernels from The Jensen-Shannon Divergence. Journal of Mathematical Imaging and Vision (to appear)

5. Lecture Notes in Computer Science;L. Han,2011

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Attributed Graph Embedding Method Using the Tree-Index Algorithm;Graph-Based Representations in Pattern Recognition;2019

2. An Attributed Graph Kernel from the Jensen-Shannon Divergence;2014 22nd International Conference on Pattern Recognition;2014-08

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