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Structural, Syntactic, and Statistical Pattern Recognition

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Cover of 'Structural, Syntactic, and Statistical Pattern Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Spectral Methods for View-Based 3-D Object Recognition Using Silhouettes
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    Chapter 2 Machine Learning for Sequential Data: A Review
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    Chapter 3 Graph-Based Methods for Vision: A Yorkist Manifesto
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    Chapter 4 Reducing the Computational Cost of Computing Approximated Median Strings
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    Chapter 5 Tree k-Grammar Models for Natural Language Modelling and Parsing
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    Chapter 6 Algorithms for Learning Function Distinguishable Regular Languages
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    Chapter 7 Non-bayesian Graph Matching without Explicit Compatibility Calculations
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    Chapter 8 Spectral Feature Vectors for Graph Clustering
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    Chapter 9 Identification of Diatoms by Grid Graph Matching
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    Chapter 10 String Edit Distance, Random Walks and Graph Matching
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    Chapter 11 Learning Structural Variations in Shock Trees
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    Chapter 12 A Comparison of Algorithms for Maximum Common Subgraph on Randomly Connected Graphs
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    Chapter 13 Inexact Multisubgraph Matching Using Graph Eigenspace and Clustering Models
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    Chapter 14 Optimal Lower Bound for Generalized Median Problems in Metric Space
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    Chapter 15 Structural Description to Recognising Arabie Characters Using Decision Tree Learning Techniques
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    Chapter 16 Feature Approach for Printed Document Image Analysis
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    Chapter 17 Example-Driven Graphics Recognition
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    Chapter 18 Estimation of Texels for Regular Mosaics Using Model-Based Interaction Maps
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    Chapter 19 Using Graph Search Techniques for Contextual Colour Retrieval
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    Chapter 20 Comparing Shape and Temporal PDMs
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    Chapter 21 Linear Shape Recognition with Mixtures of Point Distribution Models
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    Chapter 22 Curvature Weighted Evidence Combination for Shape-from-Shading
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    Chapter 23 Probabilistic Decisions in Production Net An Example from Vehicle Recognition
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    Chapter 24 Hierarchical Top Down Enhancements of Robust PCA
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    Chapter 25 An Application of Machine Learning Techniques for the Classification of Glaucomatous Progression
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    Chapter 26 Estimating the Joint Probability Distribution of Random Vertices and Arcs by Means of Second-Order Random Graphs
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    Chapter 27 Successive Projection Graph Matching
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    Chapter 28 Compact Graph Model of Handwritten Images: Integration into Authentification and Recognition
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    Chapter 29 A Statistical and Structural Approach for Symbol Recognition, Using XML Modelling
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    Chapter 30 A New Algorithm for Graph Matching with Application to Content-Based Image Retrieval
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    Chapter 31 Efficient Computation of 3-D Moments in Terms of an Object’s Partition
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    Chapter 32 A Visual Attention Operator Based on Morphological Models of Images and Maximum Likelihood Decision
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    Chapter 33 Disparity Using Feature Points in Multi Scale
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    Chapter 34 Detecting Perceptually Important Regions in an Image Based on Human Visual Attention Characteristic
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    Chapter 35 Development of Spoken Language User Interfaces: A Tool Kit Approach
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    Chapter 36 Document Image De-warping for Text/Graphics Recognition
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    Chapter 37 A Complete OCR System for Gurmukhi Script
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    Chapter 38 Texprint: A New Algorithm to Discriminate Textures Structurally
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    Chapter 39 Optical Music Interpretation
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    Chapter 40 On the Segmentation of Color Cartographic Images
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    Chapter 41 Projection Pursuit Fitting Gaussian Mixture Models
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    Chapter 42 Asymmetric Gaussian and Its Application to Pattern Recognition
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    Chapter 43 Modified Predictive Validation Test for Gaussian Mixture Modelling
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    Chapter 44 Performance Analysis and Comparison of Linear Combiners for Classifier Fusion
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    Chapter 45 Comparison of Two Classification Methodologies on a Real-World Biomedical Problem
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    Chapter 46 Evidence Accumulation Clustering Based on the K-Means Algorithm
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    Chapter 47 A Kernel Approach to Metric Multidimensional Scaling
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    Chapter 48 On Feature Selection with Measurement Cost and Grouped Features
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    Chapter 49 Classifier-Independent Feature Selection Based on Non-parametric Discriminant Analysis
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    Chapter 50 Effects of Many Feature Candidates in Feature Selection and Classification
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    Chapter 51 Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings
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    Chapter 52 A Method to Estimate the True Mahalanobis Distance from Eigenvectors of Sample Covariance Matrix
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    Chapter 53 Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data
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    Chapter 54 Some Experiments in Supervised Pattern Recognition with Incomplete Training Samples
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    Chapter 55 Recursive Prototype Reduction Schemes Applicable for Large Data Sets
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    Chapter 56 Combination of Tangent Vectors and Local Representations for Handwritten Digit Recognition
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    Chapter 57 Training Set Expansion in Handwritten Character Recognition
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    Chapter 58 Document Classification Using Phrases
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    Chapter 59 Face Detection by Learned Affine Correspondences
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    Chapter 60 Shape-from-Shading for Highlighted Surfaces
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    Chapter 61 Texture Description by Independent Components
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    Chapter 62 Fusion of Multiple Cue Detectors for Automatic Sports Video Annotation
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    Chapter 63 Query Shifting Based on Bayesian Decision Theory for Content-Based Image Retrieval
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    Chapter 64 Recursive Model-Based Colour Image Restoration
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    Chapter 65 Human Face Recognition with Different Statistical Features
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    Chapter 66 A Transformation-Based Mechanism for Face Recognition
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    Chapter 67 Face Detection Using Integral Projection Models
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    Chapter 68 Illumination Normalized Face Image for Face Recognition
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    Chapter 69 Towards a Generalized Eigenspace-Based Face Recognition Framework
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    Chapter 70 Automatic Segmentation of Speech at the Phonetic Level
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    Chapter 71 Class-Discriminative Weighted Distortion Measure for VQ-based Speaker Identification
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    Chapter 72 Alive Fishes Species Characterization from Video Sequences
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    Chapter 73 Automatic Cut Detection in MPEG Movies: A Multi-expert Approach
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    Chapter 74 Bayesian Networks for Incorporation of Contextual Information in Target Recognition Systems
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    Chapter 75 Extending LAESA Fast Nearest Neighbour Algorithm to Find the k Nearest Neighbours
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    Chapter 76 A Fast Approximated k-Median Algorithm
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    Chapter 77 A Hidden Markov Model-Based Approach to Sequential Data Clustering
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    Chapter 78 Genetic Algorithms for Exploratory Data Analysis
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    Chapter 79 Piecewise Multi-linear PDF Modelling, Using an ML Approach
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    Chapter 80 Decision Tree Using Class-Dependent Feature Subsets
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    Chapter 81 Fusion of n-Tuple Based Classifiers for High Performance Handwritten Character Recognition
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    Chapter 82 A Biologically Plausible Approach to Cat and Dog Discrimination
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    Chapter 83 Morphologically Unbiased Classifier Combination through Graphical PDF Correlation
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    Chapter 84 Classifiers under Continuous Observations
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    Chapter 85 Texture Classification Based on Coevolution Approach in Multiwavelet Feature Space
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    Chapter 86 Probabilistic Signal Models to Regularise Dynamic Programming Stereo
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    Chapter 87 The Hough Transform without the Accumulators
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    Chapter 88 Robust Gray-Level Histogram Gaussian Characterisation
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    Chapter 89 Model-Based Fatique Fractographs Texture Analysis
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    Chapter 90 Hierarchical Multiscale Modeling of Wavelet-Based Correlations
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Title
Structural, Syntactic, and Statistical Pattern Recognition
Published by
Springer Berlin Heidelberg, January 2002
DOI 10.1007/3-540-70659-3
ISBNs
978-3-54-044011-6, 978-3-54-070659-5
Editors

Terry Caelli, Adnan Amin, Robert P. W. Duin, Dick de Ridder, Mohamed Kamel

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Student > Ph. D. Student 1 33%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 1 33%