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Structural, Syntactic, and Statistical Pattern Recognition

Overview of attention for book
Structural, Syntactic, and Statistical Pattern Recognition
Springer Berlin Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Estimation, Learning, and Adaptation: Systems That Improve with Use
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    Chapter 2 Optimization Techniques for Geometric Estimation: Beyond Minimization
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    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
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    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
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    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)

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