Mathematics, Computer Science. SGAI Conf. View 2 excerpts, cites background. Frequent approximate subgraphs as features for graph-based image classification. Based Syst. A Review on Graph-based Image Classification.
Graphs are increasingly important in modelling complicated structures, such as circuits, images, chemical compounds, protein structures, biological networks, social networks and the web. Graph-based … Expand. MLG View 10 excerpts, references methods and background. View 1 excerpt, references results. Highly Influential. View 10 excerpts, references background and methods. View 4 excerpts, references methods and background. SOBER: statistical model-based bug localization.
View 2 excerpts, references background. Extraction of bug localization benchmarks from history. ASE ' View 1 excerpt, references methods. Discriminative pattern mining in software fault detection. Engineering, Computer Science.
SOQUA ' CloseGraph: mining closed frequent graph patterns. KDD ' View 6 excerpts, references methods. Graph mining: Laws, generators, and algorithms. Related Papers. Extraction of Bug Localization Benchmarks from History.
Java Cookbook. Di Fatta, S. Leue, and E. Graph Theory. Springer, Dietterich, P. Domingos, L. Getoor, S. Muggleton, and P.
Machine Learning , 73 1 :3—23, Eichinger and K. Eichinger, K. Bohm, and M. Ernst, J. Cockrell, W. Griswold, and D. Garey and D. Freeman, Graham, P. Kessler, and M.
Harrold, R. Gupta, and M. Jiang, J. Vaidya, Z. Balaporia, C. Clifton, and B. Knowledge Discovery from Transportation Network Data. Jones, M. Harrold, and J. Knab, M. Pinzger, and A. Korel and J. Dynamic Program Slicing. Information Processing Letters , 29 3 —, Liblit, A. Aiken, A.
Zheng, and M. Bug Isolation via Remote Program Sampling. Liu, X. Yan, L. Fei, J. Han, and S. Yan, H. Yu, J. Han, and P. Nagappan, T. Ball, and A. Mining Metrics to Predict Component Failures. Nowozin, K. Tsuda, T.
Uno, T. Kudo, and G. Weighted Substructure Mining for Image Analysis. Ottenstein and L. Morgan Kaufmann Publishers,
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