{ "item_title" : "Graph-Based Representations in Pattern Recognition", "item_author" : [" Cheng-Lin Liu", "Bin Luo", "Walter G. Kropatsch "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/918/223/3319182234_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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