Advances in Pattern Recognition

Table of Contents

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   Book Overview
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   Chapter 1 Some Notes on Twenty One 21 Nearest Prototype Classifiers
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   Chapter 2 Adaptive Graphical Pattern Recognition Beyond Connectionist-Based Approaches
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   Chapter 3 Current Trends in Grammatical Inference
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   Chapter 4 Classifier’s Complexity Control while Training Multilayer Perceptrons
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   Chapter 5 A Framework for Classifier Fusion: Is It Still Needed?
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   Chapter 6 Image Pattern Recognition Based on Examples— A Combined Statistical and Structural-Syntactic Approach
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   Chapter 7 A Hybrid System for the Recognition of Hand-Written Characters
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   Chapter 8 Improving Statistical Measures of Feature Subsets by Conventional and Evolutionary Approaches
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    Chapter 9 Selection of Classifiers Based on Multiple Classifier Behaviour
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    Chapter 10 The Adaptive Subspace Map for Image Description and Image Database Retrieval
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    Chapter 11 Adaptive Automatic Target Recognition with SVM Boosting for Outlier Detection
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    Chapter 12 A Multiresolution Causal Colour Texture Model
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    Chapter 13 Writer Identification: Statistical Analysis and Dichotomizer
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    Chapter 14 Syntactic Pattern Recognition by Error Correcting Analysis on Tree Automata
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    Chapter 15 Offline Recognition of Syntax-Constrained Cursive Handwritten Text
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    Chapter 16 Structural Classification for Retrospective Conversion of Documents
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    Chapter 17 Segmentation of Date Field on Bank Cheques
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    Chapter 18 Grammars and Discourse Theory to Describe and Recognize Mechanical Assemblies
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    Chapter 19 Computation of the N Best Parse Trees for Weighted and Stochastic Context-Free Grammars
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    Chapter 20 Partitional vs Hierarchical Clustering Using a Minimum Grammar Complexity Approach
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    Chapter 21 Encoding Nondeterministic Finite-State Tree Automata in Sigmoid Recursive Neural Networks
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    Chapter 22 Retrieval of Partially Visible Shapes through Structural Feature Indexing
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    Chapter 23 A Structural Matching Algorithm Using Generalized Deterministic Annealing
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    Chapter 24 Alignment and Correspondence Using Singular Value Decomposition
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    Chapter 25 Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques
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    Chapter 26 Efficient Alignment and Correspondence Using Edit Distance
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    Chapter 27 Irregular Pyramids with Combinatorial Maps
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    Chapter 28 A New Error-Correcting Distance for Attributed Relational Graph Problems
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    Chapter 29 Distance between Attributed Graphs and Function-Described Graphs Relaxing 2 nd Order Restrictions
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    Chapter 30 A Graph Labelling Approach for Connected Feature Selection
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    Chapter 31 Region-Based Representation for Object Recognition by Relaxation Labelling
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    Chapter 32 Shape Boundary Tracking with Hidden Markov Models
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    Chapter 33 Parallel Techniques for Rule-Based Scene Interpretation
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    Chapter 34 Curvature Estimation Using Shape-from-Texture
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    Chapter 35 Efficient Techniques for a Very Accurate Measurement of Dissimilarities between Cyclic Patterns
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    Chapter 36 Planar Symmetry Detection by Random Sampling and Voting Process
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    Chapter 37 Assessing the Computational Effort for Structural 3D Vehicle Recognition
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    Chapter 38 Guided Relinking of Graph Pyramids
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    Chapter 39 Texture Indexing by a Hierarchical Representation
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    Chapter 40 Surface Skeletons Detected on the D 6 Distance Transform
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    Chapter 41 Selection Strategies for Ambiguous Graph Matching by Evolutionary Optimisation
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    Chapter 42 Studies of Radical Model for Retrieval of Cursive Chinese Handwritten Annotations
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    Chapter 43 A Statistical-Estimation Method for Stochastic Finite-State Transducers Based on Entropy Measures
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    Chapter 44 Efficient Subgraph Isomorphism with ‘A Priori’ Knowledge
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    Chapter 45 Pyramid and Interior
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    Chapter 46 Prototype Learning with Attributed Relational Graphs
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    Chapter 47 Lossless Compression of Surfaces Described as Points
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    Chapter 48 A Class of Solvable Consistent Labeling Problems
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    Chapter 49 Character Recognition, Orientation, and Scale Estimation Thanks to the Fourier Mellin Transform
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    Chapter 50 Using the Dual of Proximity Graphs for Binary Decision Tree Design
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    Chapter 51 Bayesian Approach to Mixture Models for Discrimination
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    Chapter 52 Pattern Classification Based on a Piecewise Multi-linear Model for the Class Probability Densities
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    Chapter 53 Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers
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    Chapter 54 The Moments of the Mixel Distribution and Its Application to Statistical Image Classification
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    Chapter 55 Statistical Pattern Recognition Using the Normalized Complex Moment Components Vector
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    Chapter 56 Initial Matching of Multiple-View Images by Affine Approximation of Relative Distortions
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    Chapter 57 Local Discriminant Regions Using Support Vector Machines for Object Recognition
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    Chapter 58 Stochastic Models for Recognition of Occluded Objects
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    Chapter 59 A Vector Approach to the Analysis of (Patterns with) Spatial Dependence
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    Chapter 60 The Foundational Theory of Optimal Bayesian Pairwise Linear Classifiers
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    Chapter 61 The Optimum Classifier and the Performance Evaluation by Bayesian Approach
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    Chapter 62 A New Approximation Method of the Quadratic Discriminant Function
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    Chapter 63 An Optimal Reject Rule for Binary Classifiers
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    Chapter 64 Decontamination of Training Samples for Supervised Pattern Recognition Methods
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    Chapter 65 The Role of Combining Rules in Bagging and Boosting
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    Chapter 66 Confidence Combination Methods in Multi-expert Systems
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    Chapter 67 Reducing the Training Times of Neural Classifiers with Dataset Condensing
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    Chapter 68 Non-linear Invertible Representation for Joint Statistical and Perceptual Feature Decorrelation
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    Chapter 69 A Divergence Criterion for Classifier-Independent Feature Selection
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    Chapter 70 Comparison of Classifier-Specific Feature Selection Algorithms
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    Chapter 71 Combined Classifier Optimisation via Feature Selection
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    Chapter 72 Design Choices and Theoretical Issues for Relative Feature Importance, a Metric for Nonparametric Discriminatory Power
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    Chapter 73 Real-Coded Genetic Algorithms Based on Mathematical Morphology
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    Chapter 74 A New Model and Process Architecture for Facial Expression Recognition
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    Chapter 75 Biologically Inspired Architecture of Feedforward Networks for Signal Classification
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    Chapter 76 Optimal Threshold Estimation Using Prototype Selection
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    Chapter 77 Basic and Fine Structure of Pairwise Interactions in Gibbs Texture Models
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    Chapter 78 Segmentation of Text and Graphics/Images Using the Gray-Level Histogram Fourier Transform
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    Chapter 79 Fast and Accurate Handwritten Character Recognition Using Approximate Nearest Neighbours Search on Large Databases
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    Chapter 80 A Family of Divergences between φ-Probabilistic Sets with Application to Handshape Recognition
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    Chapter 81 Rotated, Scaled, and Noisy 2D and 3D Texture Classification with the Bispectrum-Based Invariant Feature
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    Chapter 82 Multiple Comparison Procedures for Determining the Optimal Complexity of a Model
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    Chapter 83 Image Pattern Recognition in Natural Environment Using Morphological Feature Extraction
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    Chapter 84 A Statistical Matrix Representation Using Sliced Orthogonal Nonlinear Correlations for Pattern Recognition
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    Chapter 85 A Fast Approximately k —Nearest—Neighbour Search Algorithm For Clasification Tasks
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    Chapter 86 Design of a Telerobotic Interface System by Using Object Recognition Techniques
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    Chapter 87 Comparison of Four Initialization Techniques for the K -Medians Clustering Algorithm
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    Chapter 88 Sensory Flow Segmentation Using a Resource Allocating Vector Quantizer
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    Chapter 89 Multiple Reject Thresholds for Improving Classification Reliability
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    Chapter 90 Clustering with EM: Complex Models vs. Robust Estimation
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    Chapter 91 A Simple Implementation of the Stochastic Discrimination for Pattern Recognition
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    Chapter 92 Adaptive Image Filtering and Segmentation Using Robust Estimation of Intensity