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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 Estimation, Learning, and Adaptation: Systems That Improve with Use
  3. Altmetric Badge
    Chapter 2 Optimization Techniques for Geometric Estimation: Beyond Minimization
  4. Altmetric Badge
    Chapter 3 Hierarchical Compositional Representations of Object Structure
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    Chapter 4 Information Theoretic Prototype Selection for Unattributed Graphs
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    Chapter 5 Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance
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    Chapter 6 Mode Seeking Clustering by KNN and Mean Shift Evaluated
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    Chapter 7 Learning Sparse Kernel Classifiers in the Primal
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    Chapter 8 Evolutionary Weighted Mean Based Framework for Generalized Median Computation with Application to Strings
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    Chapter 9 Graph Complexity from the Jensen-Shannon Divergence
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    Chapter 10 Complexity of Computing Distances between Geometric Trees
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    Chapter 11 Active Graph Matching Based on Pairwise Probabilities between Nodes
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    Chapter 12 On the Relation between the Common Labelling and the Median Graph
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    Chapter 13 A Hierarchical Image Segmentation Algorithm Based on an Observation Scale
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    Chapter 14 A Discrete Scale Space Neighborhood for Robust Deep Structure Extraction
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    Chapter 15 On the Correlation of Graph Edit Distance and L 1 Distance in the Attribute Statistics Embedding Space
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    Chapter 16 Approximate Axial Symmetries from Continuous Time Quantum Walks
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    Chapter 17 A Clustering-Based Ensemble Technique for Shape Decomposition
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    Chapter 18 Laplacian Eigenimages in Discrete Scale Space
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    Chapter 19 A Relational Kernel-Based Framework for Hierarchical Image Understanding
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    Chapter 20 A Jensen-Shannon Kernel for Hypergraphs
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    Chapter 21 Heat Flow-Thermodynamic Depth Complexity in Directed Networks
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    Chapter 22 Shape Similarity Based on a Treelet Kernel with Edition
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    Chapter 23 3D Shape Classification Using Commute Time
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    Chapter 24 Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection
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    Chapter 25 Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic Regular Grammar
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    Chapter 26 A Comparison between Structural and Embedding Methods for Graph Classification
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    Chapter 27 Improving Fuzzy Multilevel Graph Embedding through Feature Selection Technique
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    Chapter 28 Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery
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    Chapter 29 Entropic Selection of Histogram Features for Efficient Classification
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    Chapter 30 2D Shapes Classification Using BLAST
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    Chapter 31 A New Random Forest Method for One-Class Classification
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    Chapter 32 A New Index Based on Sparsity Measures for Comparing Fuzzy Partitions
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    Chapter 33 Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule
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    Chapter 34 The Dipping Phenomenon
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    Chapter 35 Structural, Syntactic, and Statistical Pattern Recognition
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    Chapter 36 Constrained Log-Likelihood-Based Semi-supervised Linear Discriminant Analysis
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    Chapter 37 Out-of-Sample Embedding by Sparse Representation
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    Chapter 38 Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric
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    Chapter 39 Simultaneous Learning of Localized Multiple Kernels and Classifier with Weighted Regularization
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    Chapter 40 Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
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    Chapter 41 Online Metric Learning Methods Using Soft Margins and Least Squares Formulations
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    Chapter 42 Shape Analysis Using the Edge-Based Laplacian
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    Chapter 43 One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices
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    Chapter 44 Estimating Surface Characteristics and Extracting Features from Polarisation
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    Chapter 45 Extended Fisher Criterion Based on Auto-correlation Matrix Information
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    Chapter 46 Poisoning Adaptive Biometric Systems
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    Chapter 47 Modified Divergences for Gaussian Densities
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    Chapter 48 Graph Database Retrieval Based on Metric-Trees
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    Chapter 49 Validation of Network Classifiers
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    Chapter 50 Alignment and Morphing for the Boundary Curves of Anatomical Organs
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    Chapter 51 Unsupervised Clustering of Human Pose Using Spectral Embedding
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    Chapter 52 Human Action Recognition in Video by Fusion of Structural and Spatio-temporal Features
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    Chapter 53 An Incremental Structured Part Model for Image Classification
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    Chapter 54 Top-Down Tracking and Estimating 3D Pose of a Die
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    Chapter 55 Large Scale Experiments on Fingerprint Liveness Detection
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    Chapter 56 Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications
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    Chapter 57 Modeling Spoken Dialog Systems under the Interactive Pattern Recognition Framework
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    Chapter 58 Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images
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    Chapter 59 Compact Form of the Pseudo–inverse Matrix in the Approximation of a Star Graph Using the Conductance Electrical Model (CEM)
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    Chapter 60 A Heuristic Based on the Intrinsic Dimensionality for Reducing the Number of Cyclic DTW Comparisons in Shape Classification and Retrieval Using AESA
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    Chapter 61 Support Vector Machines Training Data Selection Using a Genetic Algorithm
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    Chapter 62 A Unified View of Two-Dimensional Principal Component Analyses
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    Chapter 63 Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection
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    Chapter 64 Novel Gabor-PHOG Features for Object and Scene Image Classification
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    Chapter 65 Binary Gabor Statistical Features for Palmprint Template Protection
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    Chapter 66 Class-Dependent Dissimilarity Measures for Multiple Instance Learning
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    Chapter 67 Bidirectional Language Model for Handwriting Recognition
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    Chapter 68 Hypergraph Spectra for Unsupervised Feature Selection
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    Chapter 69 Feature Selection Using Counting Grids: Application to Microarray Data
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    Chapter 70 Infinite Sparse Factor Analysis for Blind Source Separation in Reverberant Environments
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    Chapter 71 Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression
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    Chapter 72 Conditional Variance of Differences: A Robust Similarity Measure for Matching and Registration
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    Chapter 73 A Class Centric Feature and Classifier Ensemble Selection Approach for Music Genre Classification
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    Chapter 74 A Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset
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    Chapter 75 A Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI
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    Chapter 76 A Comparative Analysis of Forgery Detection Algorithms
  78. Altmetric Badge
    Chapter 77 Structural, Syntactic, and Statistical Pattern Recognition
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    Chapter 78 A Novel Shadow-Assistant Human Fall Detection Scheme Using a Cascade of SVM Classifiers
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    Chapter 79 Analysis of Co-training Algorithm with Very Small Training Sets
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    Chapter 80 Classification of High-Dimension PDFs Using the Hungarian Algorithm
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    Chapter 81 Face Recognition Using Multilinear Manifold Analysis of Local Descriptors
  83. Altmetric Badge
    Chapter 82 A Genetic Inspired Optimization for ECOC
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
1 X user
patent
2 patents
wikipedia
3 Wikipedia pages

Citations

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11 Dimensions

Readers on

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Title
Structural, Syntactic, and Statistical Pattern Recognition
Published by
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-34166-3
ISBNs
978-3-64-234165-6, 978-3-64-234166-3
Authors

Georgy Gimel’farb, Edwin Hancock, Atsushi Imiya, Arjan Kuijper, Mineichi Kudo, Shinichiro Omachi, Terry Windeatt, Keiji Yamada

Editors

Gimel’farb, Georgy, Hancock, Edwin, Imiya, Atsushi, Kuijper, Arjan, Kudo, Mineichi, Omachi, Shinichiro, Windeatt, Terry, Yamada, Keiji

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 2 40%
Biochemistry, Genetics and Molecular Biology 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2023.
All research outputs
#3,005,908
of 23,204,238 outputs
Outputs from Lecture notes in computer science
#646
of 8,153 outputs
Outputs of similar age
#24,340
of 246,058 outputs
Outputs of similar age from Lecture notes in computer science
#47
of 491 outputs
Altmetric has tracked 23,204,238 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 246,058 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 491 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.