Graph-Based Representations in Pattern Recognition - Info and Reading Options

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Intro -- Preface -- Organization -- Contents -- Experimental Evaluation of Subgraph Isomorphism Solvers -- 1 Introduction -- 2 Experimental Set-Up -- 3 Does the Solving Time Depend on Graph Sizes? -- 4 Where Are the Hard Instances? -- 5 Experimental Comparison of the Solvers -- 6 Combining Solvers to Take the Best of Them -- 7 Conclusion -- References -- GEDLIB: A C++ Library for Graph Edit Distance Computation -- 1 Introduction -- 2 Overall Architecture -- 3 User Interface -- 4 Abstract Classes for Implementing GED Algorithms -- 5 Abstract Class for Implementing Edit Costs -- 6 Conclusions and Future Work -- References -- Learning the Graph Edit Costs: What Do We Want to Optimise? -- Abstract -- 1 Introduction -- 2 Attributed Graphs and Graph Edit Distance -- 3 Learning Methods and Objective Functions -- 4 Experimental Evaluation -- 5 The Conclusions -- Acknowledgments -- References -- Sub-optimal Graph Matching by Node-to-Node Assignment Classification -- 1 Introduction -- 2 Definitions -- 2.1 Attributed Graphs and Graph Edit Distance -- 2.2 Approximating the Graph Edit Distance -- 3 Learning Graph Matching -- 3.1 Learning the Edit Costs and Graph Embedding -- 3.2 From Edit Costs Estimation to Node Assignment Classification -- 3.3 Training the Classifier -- 4 Experimental Evaluation -- 4.1 Database Description -- 4.2 Graph Matching Performance -- 4.3 Runtime Analysis -- 5 Conclusions -- References -- Cross-Evaluation of Graph-Based Keyword Spotting in Handwritten Historical Documents -- 1 Introduction -- 1.1 Related Work -- 1.2 Contribution -- 2 Graph-Based Keyword Spotting -- 2.1 Image Preprocessing -- 2.2 Handwriting Graphs -- 2.3 Graph Matching -- 2.4 Ensemble Methods -- 3 Experimental Evaluation -- 3.1 Experimental Setup -- 3.2 Cross-Evaluation -- 3.3 Ensemble Methods -- 4 Conclusion and Outlook -- References

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