Graph-Based Representations in Pattern Recognition

Table of Contents

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   Book Overview
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   Chapter 1 Hypergraph-Based Image Representation
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   Chapter 2 Vectorized Image Segmentation via Trixel Agglomeration
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   Chapter 3 Graph Transformation in Document Image Analysis: Approaches and Challenges
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   Chapter 4 Graphical Knowledge Management in Graphics Recognition Systems
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   Chapter 5 A Vascular Network Growth Estimation Algorithm Using Random Graphs
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   Chapter 6 A Linear Generative Model for Graph Structure
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   Chapter 7 Graph Seriation Using Semi-definite Programming
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   Chapter 8 Comparing String Representations and Distances in a Natural Images Classification Task
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    Chapter 9 Reduction Strings: A Representation of Symbolic Hierarchical Graphs Suitable for Learning
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    Chapter 10 Representing and Segmenting 2D Images by Means of Planar Maps with Discrete Embeddings: From Model to Applications
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    Chapter 11 Inside and Outside Within Combinatorial Pyramids
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    Chapter 12 The GeoMap : A Unified Representation for Topology and Geometry
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    Chapter 13 Pyramids of n-Dimensional Generalized Maps
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    Chapter 14 Towards Unitary Representations for Graph Matching
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    Chapter 15 A Direct Algorithm to Find a Largest Common Connected Induced Subgraph of Two Graphs
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    Chapter 16 Reactive Tabu Search for Measuring Graph Similarity
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    Chapter 17 Tree Matching Applied to Vascular System
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    Chapter 18 A Graph-Based, Multi-resolution Algorithm for Tracking Objects in Presence of Occlusions
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    Chapter 19 Coarse-to-Fine Object Recognition Using Shock Graphs
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    Chapter 20 Adaptive Pyramid and Semantic Graph: Knowledge Driven Segmentation
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    Chapter 21 A Graph-Based Concept for Spatiotemporal Information in Cognitive Vision
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    Chapter 22 Approximating the Problem, not the Solution: An Alternative View of Point Set Matching
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    Chapter 23 Defining Consistency to Detect Change Using Inexact Graph Matching
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    Chapter 24 Asymmetric Inexact Matching of Spatially-Attributed Graphs
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    Chapter 25 From Exact to Approximate Maximum Common Subgraph
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    Chapter 26 Automatic Learning of Structural Models of Cartographic Objects
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    Chapter 27 An Experimental Comparison of Fingerprint Classification Methods Using Graphs
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    Chapter 28 Collaboration Between Statistical and Structural Approaches for Old Handwritten Characters Recognition
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    Chapter 29 Decision Trees for Error-Tolerant Graph Database Filtering
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    Chapter 30 Recovery of Missing Information in Graph Sequences
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    Chapter 31 Tree-Based Tracking of Temporal Image
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    Chapter 32 Protein Classification with Kernelized Softassign
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    Chapter 33 Local Entropic Graphs for Globally-Consistent Graph Matching
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    Chapter 34 Edit Distance Based Kernel Functions for Attributed Graph Matching
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    Chapter 35 A Robust Graph Partition Method from the Path-Weighted Adjacency Matrix
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    Chapter 36 Recent Results on Heat Kernel Embedding of Graphs