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Graph-Based Representations in Pattern Recognition

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Cover of 'Graph-Based Representations in Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 A Global Method for Reducing Multidimensional Size Graphs
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    Chapter 2 Graph Descriptors from B-Matrix Representation
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    Chapter 3 Dimensionality Reduction for Graph of Words Embedding
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    Chapter 4 Entropy versus Heterogeneity for Graphs
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    Chapter 5 Learning Generative Graph Prototypes Using Simplified von Neumann Entropy
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    Chapter 6 Information-Geometric Graph Indexing from Bags of Partial Node Coverages
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    Chapter 7 Maximum Likelihood for Gaussians on Graphs
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    Chapter 8 Towards Performance Evaluation of Graph-Based Representation
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    Chapter 9 Measuring the Distance of Generalized Maps
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    Chapter 10 Aggregated Search in Graph Databases: Preliminary Results
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    Chapter 11 Speeding Up Graph Edit Distance Computation through Fast Bipartite Matching
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    Chapter 12 Two New Graph Kernels and Applications to Chemoinformatics
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    Chapter 13 Generalized Learning Graph Quantization
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    Chapter 14 Parallel Graduated Assignment Algorithm for Multiple Graph Matching Based on a Common Labelling
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    Chapter 15 Smooth Simultaneous Structural Graph Matching and Point-Set Registration
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    Chapter 16 Automatic Learning of Edit Costs Based on Interactive and Adaptive Graph Recognition
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    Chapter 17 Exploration of the Labelling Space Given Graph Edit Distance Costs
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    Chapter 18 Graph Matching Based on Dot Product Representation of Graphs
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    Chapter 19 Indexing with Well-Founded Total Order for Faster Subgraph Isomorphism Detection
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    Chapter 20 Graph Transduction as a Non-cooperative Game
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    Chapter 21 A Graph-Based Approach to Feature Selection
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    Chapter 22 Spatio-Temporal Extraction of Articulated Models in a Graph Pyramid
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    Chapter 23 Semi-supervised Segmentation of 3D Surfaces Using a Weighted Graph Representation
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    Chapter 24 Convexity Grouping of Salient Contours
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    Chapter 25 Hierarchical Interactive Image Segmentation Using Irregular Pyramids
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    Chapter 26 Tiled Top-Down Pyramids and Segmentation of Large Histological Images
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    Chapter 27 Segmentation of Similar Images Using Graph Matching and Community Detection
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    Chapter 28 Automatic Street Graph Construction in Sketch Maps
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    Chapter 29 People Re-identification by Graph Kernels Methods
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    Chapter 30 Automatic Labeling of Handwritten Mathematical Symbols via Expression Matching
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    Chapter 31 Structure-Based Evaluation Methodology for Curvilinear Structure Detection Algorithms
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    Chapter 32 Keygraphs for Sign Detection in Indoor Environments by Mobile Phones
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    Chapter 33 Classification of Graph Sequences Utilizing the Eigenvalues of the Distance Matrices and Hidden Markov Models
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    Chapter 34 Using Kernels on Hierarchical Graphs in Automatic Classification of Designs
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Title
Graph-Based Representations in Pattern Recognition
Published by
Springer Berlin Heidelberg, May 2011
DOI 10.1007/978-3-642-20844-7
ISBNs
978-3-64-220843-0, 978-3-64-220844-7
Editors

Jiang, Xiaoyi, Ferrer, Miquel, Torsello, Andrea

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 2%
Germany 2 1%
India 2 1%
Portugal 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 123 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 33%
Student > Master 27 20%
Researcher 15 11%
Student > Bachelor 11 8%
Student > Doctoral Student 8 6%
Other 22 16%
Unknown 8 6%
Readers by discipline Count As %
Computer Science 80 59%
Engineering 16 12%
Mathematics 6 4%
Agricultural and Biological Sciences 4 3%
Social Sciences 4 3%
Other 14 10%
Unknown 11 8%