Structural, Syntactic, and Statistical Pattern Recognition

Table of Contents

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   Book Overview
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   Chapter 1 From Region Based Image Representation to Object Discovery and Recognition
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   Chapter 2 Learning on Manifolds
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   Chapter 3 Classification and Trees
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   Chapter 4 Structural, Syntactic, and Statistical Pattern Recognition
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   Chapter 5 Graph Embedding Using an Edge-Based Wave Kernel
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   Chapter 6 A Structured Learning Approach to Attributed Graph Embedding
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   Chapter 7 Combining Elimination Rules in Tree-Based Nearest Neighbor Search Algorithms
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   Chapter 8 Localized Projection Learning
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    Chapter 9 Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures
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    Chapter 10 Learning Graph Quantization
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    Chapter 11 High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs
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    Chapter 12 Dissimilarity-Based Multiple Instance Learning
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    Chapter 13 A Game Theoretic Approach to Learning Shape Categories and Contextual Similarities
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    Chapter 14 A Comparison between Two Representatives of a Set of Graphs: Median vs. Barycenter Graph
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    Chapter 15 Impact of Visual Information on Text and Content Based Image Retrieval
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    Chapter 16 Automatic Traffic Monitoring from Satellite Images Using Artificial Immune System
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    Chapter 17 Graduated Assignment Algorithm for Finding the Common Labelling of a Set of Graphs
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    Chapter 18 Affinity Propagation for Class Exemplar Mining
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    Chapter 19 Guided Informative Image Partitioning
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    Chapter 20 Visual Alphabets on Different Levels of Abstraction for the Recognition of Deformable Objects
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    Chapter 21 Graph Embedding Based on Nodes Attributes Representatives and a Graph of Words Representation
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    Chapter 22 Extracting Plane Graphs from Images
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    Chapter 23 Indexing Tree and Subtree by Using a Structure Network
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    Chapter 24 Attributed Graph Matching for Image-Features Association Using SIFT Descriptors
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    Chapter 25 A Causal Extraction Scheme in Top-Down Pyramids for Large Images Segmentation
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    Chapter 26 Fast Population Game Dynamics for Dominant Sets and Other Quadratic Optimization Problems
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    Chapter 27 What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach
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    Chapter 28 New Partially Labelled Tree Similarity Measure: A Case Study
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    Chapter 29 Complete Search Space Exploration for SITG Inside Probability
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    Chapter 30 Commute-Time Convolution Kernels for Graph Clustering
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    Chapter 31 Non-Euclidean Dissimilarities: Causes and Informativeness
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    Chapter 32 Non-parametric Mixture Models for Clustering
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    Chapter 33 A Probabilistic Approach to Spectral Unmixing
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    Chapter 34 A Game-Theoretic Approach to the Enforcement of Global Consistency in Multi-view Feature Matching
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    Chapter 35 An Algorithm for Recovering Camouflage Errors on Moving People
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    Chapter 36 Semi-supervised Clustering Using Heterogeneous Dissimilarities
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    Chapter 37 On Consensus Clustering Validation
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    Chapter 38 Pairwise Probabilistic Clustering Using Evidence Accumulation
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    Chapter 39 Exploring the Performance Limit of Cluster Ensemble Techniques
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    Chapter 40 Contour Grouping by Clustering with Multi-feature Similarity Measure
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    Chapter 41 A Psychophysical Evaluation of Texture Degradation Descriptors
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    Chapter 42 Content-Based Tile Retrieval System
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    Chapter 43 Performance Improvement in Multiple-Model Speech Recognizer under Noisy Environments
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    Chapter 44 On Feature Combination for Music Classification
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    Chapter 45 Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
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    Chapter 46 Dynamic Linear Combination of Two-Class Classifiers
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    Chapter 47 Large-Scale Text to Image Retrieval Using a Bayesian K -Neighborhood Model
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    Chapter 48 Maximum a Posteriori Based Kernel Classifier Trained by Linear Programming
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    Chapter 49 Improvement of the Disc Harmonic Moments Descriptor by an Exponentially Decaying Distance Transform
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    Chapter 50 Feature Level Fusion of Face and Palmprint Biometrics
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    Chapter 51 Scale and Rotation Invariant Detection of Singular Patterns in Vector Flow Fields
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    Chapter 52 Using K-NN SVMs for Performance Improvement and Comparison to K-Highest Lagrange Multipliers Selection
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    Chapter 53 Automatic Speech Segmentation Based on Acoustical Clustering
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    Chapter 54 An Efficient Iris and Eye Corners Extraction Method
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    Chapter 55 An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces
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    Chapter 56 The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure
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    Chapter 57 Regularising the Ricci Flow Embedding
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    Chapter 58 Spherical Embedding and Classification
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    Chapter 59 Language Detection and Tracking in Multilingual Documents Using Weak Estimators
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    Chapter 60 Similarity Word-Sequence Kernels for Sentence Clustering
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    Chapter 61 Bayesian Adaptation for Statistical Machine Translation
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    Chapter 62 A Generative Score Space for Statistical Dialog Characterization in Social Signalling
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    Chapter 63 A Modular Approach to Training Cascades of Boosted Ensembles
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    Chapter 64 A Linear Combination of Classifiers via Rank Margin Maximization
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    Chapter 65 Combination of Dichotomizers for Maximizing the Partial Area under the ROC Curve
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    Chapter 66 Ihara Coefficients: A Flexible Tool for Higher Order Learning
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    Chapter 67 A New Spectral Bound on the Clique Number of Graphs
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    Chapter 68 Large Sample Statistics in the Domain of Graphs
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    Chapter 69 Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization
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    Chapter 70 Interactive Image Retrieval Using Smoothed Nearest Neighbor Estimates
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    Chapter 71 Kernel Fusion of Multiple Histogram Descriptors for Robust Face Recognition
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    Chapter 72 Efficient OCR Post-Processing Combining Language, Hypothesis and Error Models
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    Chapter 73 Rejection Threshold Estimation for an Unknown Language Model in an OCR Task
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    Chapter 74 A New Editing Scheme Based on a Fast Two-String Median Computation Applied to OCR