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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
  2. Altmetric Badge
    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
  66. Altmetric Badge
    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
Attention for Chapter 45: Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
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Chapter title
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Chapter number 45
Book title
Structural, Syntactic, and Statistical Pattern Recognition
Published by
Springer, Berlin, Heidelberg, August 2010
DOI 10.1007/978-3-642-14980-1_45
Book ISBNs
978-3-64-214979-5, 978-3-64-214980-1
Authors

André F. T. Martins, Manuele Bicego, Vittorio Murino, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Martins, André F. T., Bicego, Manuele, Murino, Vittorio, Aguiar, Pedro M. Q., Figueiredo, Mário A. T.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 2 22%
Professor 1 11%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 4 44%
Mathematics 1 11%
Economics, Econometrics and Finance 1 11%
Unknown 3 33%