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Structural, Syntactic, and Statistical Pattern Recognition

Overview of attention for book
Cover of 'Structural, Syntactic, and Statistical Pattern Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Complexity Analysis: Linkage between Context and Solution in Classification
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    Chapter 2 Graph Classification on Dissimilarity Space Embedding
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    Chapter 3 Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition
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    Chapter 4 Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift
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    Chapter 5 Graph Edit Distance without Correspondence from Continuous-Time Quantum Walks
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    Chapter 6 Exact Median Graph Computation Via Graph Embedding
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    Chapter 7 Similarity Invariant Delaunay Graph Matching
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    Chapter 8 An Inexact Graph Comparison Approach in Joint Eigenspace
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    Chapter 9 A Vectorial Representation for the Indexation of Structural Informations
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    Chapter 10 Stochastic Text Models for Music Categorization
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    Chapter 11 Efficient Pruning of Probabilistic Automata
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    Chapter 12 Position Models and Language Modeling
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    Chapter 13 Melody Recognition with Learned Edit Distances
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    Chapter 14 Context First
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    Chapter 15 Activity Representation in Crowd
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    Chapter 16 3D Object Recognition Using Hyper-Graphs and Ranked Local Invariant Features
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    Chapter 17 Image Matching with Spatially Variant Contrast and Offset: A Quadratic Programming Approach
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    Chapter 18 Structural, Syntactic, and Statistical Pattern Recognition
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    Chapter 19 Fuzzy ART for Relatively Fast Unsupervised Image Color Quantization
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    Chapter 20 Recognising Facial Expressions Using Spherical Harmonics
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    Chapter 21 Complex Fiedler Vectors for Shape Retrieval
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    Chapter 22 Combining Shape Priors and MRF-Segmentation
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    Chapter 23 Measuring the Similarity of Vector Fields Using Global Distributions
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    Chapter 24 Consensus Graphs for Symmetry Plane Estimation
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    Chapter 25 Graph Characteristic from the Gauss-Bonnet Theorem
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    Chapter 26 Quantitative Evaluation on Heat Kernel Permutation Invariants
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    Chapter 27 Hierarchical Bag of Paths for Kernel Based Shape Classification
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    Chapter 28 Polytopal Graph Complexity, Matrix Permanents, and Embedding
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    Chapter 29 Gesture Recognition Based on Manifold Learning
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    Chapter 30 Graph Characteristics from the Ihara Zeta Function
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    Chapter 31 A Learning Approach to 3D Object Representation for Classification
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    Chapter 32 Region Based Visual Object Categorization Using Segment Features and Polynomial Modeling
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    Chapter 33 IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning
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    Chapter 34 Hybrid Genetic Algorithm and Procrustes Analysis for Enhancing the Matching of Graphs Generated from Shapes
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    Chapter 35 Spectral Embedding of Feature Hypergraphs
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    Chapter 36 Clustering Using Class Specific Hyper Graphs
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    Chapter 37 Structure Is a Visual Class Invariant
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    Chapter 38 Local Fisher Discriminant Component Hashing for Fast Nearest Neighbor Classification
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    Chapter 39 Significance Tests and Statistical Inequalities for Region Matching
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    Chapter 40 Advanced Homology Computation of Digital Volumes Via Cell Complexes
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    Chapter 41 Modeling the Model Athlete: Automatic Coaching of Rowing Technique
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    Chapter 42 Optimal Solution of the Dichromatic Model for Multispectral Photometric Invariance
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    Chapter 43 Ensemble Combination for Solving the Parameter Selection Problem in Image Segmentation
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    Chapter 44 Semantic Scene Classification for Image Annotation and Retrieval
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    Chapter 45 Multi-angle View, Illumination and Cosmetic Facial Image Database (MaVIC) and Quantitative Analysis of Facial Appearance
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    Chapter 46 Shape Representation Robust to the Sketching Order Using Distance Map and Direction Histogram
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    Chapter 47 A Stochastic Approach to Median String Computation
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    Chapter 48 Tracking by Hierarchical Representation of Target Structure
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    Chapter 49 Using the Shape Characteristics of Rain to Identify and Remove Rain from Video
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    Chapter 50 A Fast Approach to Improve Classification Performance of ECOC Classification Systems
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    Chapter 51 Partially Corrective AdaBoost
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    Chapter 52 Selection and Fusion of Similarity Measure Based Classifiers Using Support Vector Machines
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    Chapter 53 On Mixtures of Linear SVMs for Nonlinear Classification
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    Chapter 54 Adversarial Pattern Classification Using Multiple Classifiers and Randomisation
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    Chapter 55 Adaptive Learning Rate for Online Linear Discriminant Classifiers
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    Chapter 56 Combining Online Classification Approaches for Changing Environments
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    Chapter 57 Optimal Kernel in a Class of Kernels with an Invariant Metric
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    Chapter 58 Chaotic Pattern Recognition: The Spectrum of Properties of the Adachi Neural Network
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    Chapter 59 On Euclidean Corrections for Non-Euclidean Dissimilarities
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    Chapter 60 Feature and Classifier Selection in Class Decision Trees
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    Chapter 61 Soft Feature Selection by Using a Histogram-Based Classifier
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    Chapter 62 Embedded Map Projection for Dimensionality Reduction-Based Similarity Search
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    Chapter 63 Novel Incremental Principal Component Analysis with Improved Performance
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    Chapter 64 An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms
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    Chapter 65 A Family of Cluster Validity Indexes Based on a l -Order Fuzzy OR Operator
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    Chapter 66 Fast Multivariate Ordinal Type Histogram Matching
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    Chapter 67 Distance between Histograms with Shuffled Cost Matrix
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    Chapter 68 Using Non Local Features for 3D Shape Grouping
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    Chapter 69 A Dynamic Programming Technique for Optimizing Dissimilarity-Based Classifiers
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    Chapter 70 Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification
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    Chapter 71 Exploring Margin Maximization for Biometric Score Fusion
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    Chapter 72 Biometric Template Update: An Experimental Investigation on the Relationship between Update Errors and Performance Degradation in Face Verification
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    Chapter 73 Automatic Mutual Nonrigid Registration of Dense Surfaces by Graphical Model Based Inference
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    Chapter 74 A Novel Video Classification Method Based on Hybrid Generative/Discriminative Models
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    Chapter 75 Scale-Space Kernels for Additive Modeling
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    Chapter 76 Learning Curves for the Analysis of Multiple Instance Classifiers
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    Chapter 77 Categorizing Perceptions of Indoor Rooms Using 3D Features
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    Chapter 78 Template Selection by Editing Algorithms: A Case Study in Face Recognition
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    Chapter 79 A Novel Coding Scheme for Indexing Fingerprint Patterns
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    Chapter 80 A Theoretical and Experimental Analysis of Template Co-update in Biometric Verification Systems
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    Chapter 81 A New Solution Scheme of Unsupervised Locality Preserving Projection Method for the SSS Problem
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    Chapter 82 High Occupancy Vehicle Detection
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    Chapter 83 Automatic Classification of NMR Spectra by Ensembles of Local Experts
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    Chapter 84 Bagging, Random Subspace Method and Biding
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    Chapter 85 Use of Structured Pattern Representations for Combining Classifiers
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    Chapter 86 Combination of Experts by Classifiers in Similarity Score Spaces
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    Chapter 87 Improving the Performance of a NER System by Post-processing and Voting
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    Chapter 88 A Low Cost Incremental Biometric Fusion Strategy for a Handheld Device
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    Chapter 89 A Hidden Markov Model Approach to Classify and Predict the Sign of Financial Local Trends
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    Chapter 90 Local Metric Learning on Manifolds with Application to Query–Based Operations
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    Chapter 91 Behavior Analysis of Volume Prototypes in High Dimensionality
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    Chapter 92 Pattern Recognition Approaches for Classifying IP Flows
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    Chapter 93 Outlier Robust Gaussian Process Classification
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    Chapter 94 2D Shape Classification Using Multifractional Brownian Motion
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    Chapter 95 A New Performance Evaluation Method for Two-Class Imbalanced Problems
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    Chapter 96 A Pruning Rule Based on a Distance Sparse Table for Hierarchical Similarity Search Algorithms
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    Chapter 97 Classification and Automatic Annotation Extension of Images Using Bayesian Network
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    Chapter 98 Selection of Suitable Set of Decision Rules Using Choquet Integral
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    Chapter 99 Evaluating the Stability of Feature Selectors That Optimize Feature Subset Cardinality
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    Chapter 100 A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes
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    Chapter 101 An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions
  103. Altmetric Badge
    Chapter 102 Data Complexity Analysis: Linkage between Context and Solution in Classification
  104. Altmetric Badge
    Chapter 103 Graph Classification Based on Dissimilarity Space Embedding
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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

patent
3 patents
googleplus
1 Google+ user

Citations

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9 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Structural, Syntactic, and Statistical Pattern Recognition
Published by
Lecture notes in computer science, January 2008
DOI 10.1007/978-3-540-89689-0
ISBNs
978-3-54-089688-3, 978-3-54-089689-0
Authors

Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James T. Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog

Editors

Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James T. Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Student > Bachelor 1 9%
Student > Postgraduate 1 9%
Student > Master 1 9%
Unknown 6 55%
Readers by discipline Count As %
Computer Science 2 18%
Unspecified 1 9%
Medicine and Dentistry 1 9%
Engineering 1 9%
Unknown 6 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 September 2020.
All research outputs
#4,176,545
of 22,816,807 outputs
Outputs from Lecture notes in computer science
#988
of 8,124 outputs
Outputs of similar age
#19,467
of 156,305 outputs
Outputs of similar age from Lecture notes in computer science
#18
of 85 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 156,305 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 86% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.