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Author:   Cheng-Lin Liu ,  Bin Luo ,  Walter G. Kropatsch ,  Jian Cheng
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2015 ed.
Volume:   9069
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   5.854kg
ISBN:  

9783319182230

ISBN 10:   3319182234
Pages:   376
Publication Date:   16 April 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Graph-based Representation.- Approximation of Graph Edit Distance in Quadratic Time.- Data Graph Formulation as the Minimum-Weight Maximum-Entropy Problem.- An Entropic Edge Assortativity Measure.- A Subpath Kernel for Learning Hierarchical Image Representations.- Coupled-Feature Hypergraph Representation for Feature Selection.- Reeb Graphs Through Local Binary Patterns.- Incremental embedding within a dissimilarity-based framework.- Graph Matching.- A First Step Towards Exact Graph Edit Distance Using Bipartite Graph Matching.- Consensus of Two Graph Correspondences through a Generalisation of the Bipartite Graph Matching Algorithm.- Revisiting Volegnant-Jonker for Approximating Graph Edit Distance.- A Hypergraph Matching Framework for Refining Multi-source Feature Correspondences.- Kite Recognition by means of Graph Matching.- GEM++: a tool for solving substitution-tolerant subgraph isomorphism.- A Graph Database Repository and Performance Evaluation Metrics for Graph Edit Distance.- Improving Hausdorff Edit Distance Using Structural Node Context.- Learning Graph Model for Different Dimensions Image Matching.- VF2 Plus: An Improved Version of VF2 For Biological Graphs.- Report on the First Contest on Graph Matching Algorithms for Pattern Search in Biological Databases.- Approximate Graph Edit Distance Computation Combining Bipartite Matching and Exact Neighborhood Substructure Distance.- Multi-layer Tree Matching Using HSTs.- Large-scale Graph Indexing using Binary Embeddings of Node Contexts.- Attributed Relational Graph Matching with Sparse Relaxation and Bistochastic Normalization.- Graph Clustering and Classification.-On the Influence of Node Centralities on Graph Edit Distance for Graph Classification.- A Mixed Weisfeiler-Lehman Graph Kernel.- A Quantum Jensen-Shannon Graph Kernel using Discrete-time Quantum Walks.- Density Based Cluster Extension and Dominant Sets Clustering.- Salient Object Segmentation from Stereoscopic Images.- Causal Video Segmentation using Superseeds and Graph Matching.- Fast Minimum Spanning Tree based Clustering Algorithms on Local Neighborhood Graph.- Graph-based Application.- From bags to graphs of stereo subgraphs in order to predict molecule's properties.- Thermodynamics of Time Evolving Networks.- Isometric Mapping Hashing.- Skeletal Graphs from Schrodinger Magnitude and Phase.- Graph Based Lymphatic Vessel Wall Localisation and Tracking.- A Comic Retrieval System Based on Multilayer Graph Representation and Graph Mining.- Learning High-Order Structures for Texture Retrieval.

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