Structural, Syntactic, and Statistical Pattern Recognition

Table of Contents

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   Book Overview
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   Chapter 1 Image Annotation Using a Semantic Hierarchy
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   Chapter 2 Malignant Brain Tumor Classification Using the Random Forest Method
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   Chapter 3 Rotationally Invariant Bark Recognition
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   Chapter 4 Dynamic Voting in Multi-view Learning for Radiomics Applications
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   Chapter 5 Iterative Deep Subspace Clustering
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   Chapter 6 A Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similarity
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   Chapter 7 On Fast Sample Preselection for Speeding up Convolutional Neural Network Training
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   Chapter 8 UAV First View Landmark Localization via Deep Reinforcement Learning
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    Chapter 9 Context Free Band Reduction Using a Convolutional Neural Network
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    Chapter 10 Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks
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    Chapter 11 Learning Deep Embeddings via Margin-Based Discriminate Loss
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    Chapter 12 Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning
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    Chapter 13 Local Binary Patterns Based on Subspace Representation of Image Patch for Face Recognition
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    Chapter 14 An Image-Based Representation for Graph Classification
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    Chapter 15 Visual Tracking via Patch-Based Absorbing Markov Chain
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    Chapter 16 Gradient Descent for Gaussian Processes Variance Reduction
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    Chapter 17 Sparsification of Indefinite Learning Models
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    Chapter 18 Semi-supervised Clustering Framework Based on Active Learning for Real Data
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    Chapter 19 Supervised Classification Using Feature Space Partitioning
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    Chapter 20 Deep Homography Estimation with Pairwise Invertibility Constraint
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    Chapter 21 Graph Time Series Analysis Using Transfer Entropy
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    Chapter 22 Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel
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    Chapter 23 A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels
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    Chapter 24 Few-Example Affine Invariant Ear Detection in the Wild
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    Chapter 25 Line Voronoi Diagrams Using Elliptical Distances
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    Chapter 26 Modelling the Generalised Median Correspondence Through an Edit Distance
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    Chapter 27 Learning the Sub-optimal Graph Edit Distance Edit Costs Based on an Embedded Model
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    Chapter 28 Ring Based Approximation of Graph Edit Distance
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    Chapter 29 Graph Edit Distance in the Exact Context
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    Chapter 30 The VF3-Light Subgraph Isomorphism Algorithm: When Doing Less Is More Effective
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    Chapter 31 A Deep Neural Network Architecture to Estimate Node Assignment Costs for the Graph Edit Distance
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    Chapter 32 Error-Tolerant Geometric Graph Similarity
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    Chapter 33 Learning Cost Functions for Graph Matching
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    Chapter 34 Matrix Regression-Based Classification for Face Recognition
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    Chapter 35 Plenoptic Imaging for Seeing Through Turbulence
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    Chapter 36 Weighted Local Mutual Information for 2D-3D Registration in Vascular Interventions
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    Chapter 37 Cross-Model Retrieval with Reconstruct Hashing
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    Chapter 38 Deep Supervised Hashing with Information Loss
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    Chapter 39 Single Image Super Resolution via Neighbor Reconstruction
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    Chapter 40 An Efficient Method for Boundary Detection from Hyperspectral Imagery
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    Chapter 41 Bags of Graphs for Human Action Recognition
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    Chapter 42 Categorization of RNA Molecules Using Graph Methods
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    Chapter 43 Quantum Edge Entropy for Alzheimer’s Disease Analysis
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    Chapter 44 Approximating GED Using a Stochastic Generator and Multistart IPFP
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    Chapter 45 Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks
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    Chapter 46 On Association Graph Techniques for Hypergraph Matching
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    Chapter 47 Directed Network Analysis Using Transfer Entropy Component Analysis
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    Chapter 48 A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs
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    Chapter 49 Dirichlet Densifiers: Beyond Constraining the Spectral Gap