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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 P2P Lending Analysis Using the Most Relevant Graph-Based Features
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    Chapter 2 Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification
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    Chapter 3 Least-Squares Regression with Unitary Constraints for Network Behaviour Classification
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    Chapter 4 Mathematical Aspects of Tensor Subspace Method
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    Chapter 5 Thermodynamic Characterization of Temporal Networks
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    Chapter 6 A Multi-Stage Approach for Fast Person Re-identification
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    Chapter 7 Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space
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    Chapter 8 The Similarity Between Dissimilarities
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    Chapter 9 Bilingual Data Selection Using a Continuous Vector-Space Representation
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    Chapter 10 Improved Prototype Embedding Based Generalized Median Computation by Means of Refined Reconstruction Methods
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    Chapter 11 On the Relevance of Local Neighbourhoods for Greedy Graph Edit Distance
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    Chapter 12 GriMa: A Grid Mining Algorithm for Bag-of-Grid-Based Classification
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    Chapter 13 Edge Centrality via the Holevo Quantity
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    Chapter 14 Thermodynamic Network Analysis with Quantum Spin Statistics
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    Chapter 15 Correlation Network Evolution Using Mean Reversion Autoregression
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    Chapter 16 Graph Entropy from Closed Walk and Cycle Functionals
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    Chapter 17 Dirichlet Graph Densifiers
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    Chapter 18 A Jensen-Shannon Divergence Kernel for Directed Graphs
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    Chapter 19 XNN Graph
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    Chapter 20 fMRI Activation Network Analysis Using Bose-Einstein Entropy
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    Chapter 21 Classification of Volumetric Data Using Multiway Data Analysis
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    Chapter 22 Commute Times in Dense Graphs
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    Chapter 23 Outlier Robust Geodesic K-means Algorithm for High Dimensional Data
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    Chapter 24 Adaptive Sparse Bayesian Regression with Variational Inference for Parameter Estimation
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    Chapter 25 Multiple Structure Recovery via Probabilistic Biclustering
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    Chapter 26 Generalizing Centroid Index to Different Clustering Models
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    Chapter 27 The Peaking Phenomenon in Semi-supervised Learning
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    Chapter 28 Walker-Independent Features for Gait Recognition from Motion Capture Data
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    Chapter 29 On Security and Sparsity of Linear Classifiers for Adversarial Settings
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    Chapter 30 Semantic Segmentation via Multi-task, Multi-domain Learning
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    Chapter 31 Sequential Labeling with Structural SVM Under an Average Precision Loss
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    Chapter 32 Forensic Analysis of Manuscript Authorship: An Optimized Computational Approach Based on Texture Descriptors
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    Chapter 33 Information Theoretic Rotationwise Robust Binary Descriptor Learning
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    Chapter 34 Markov–Gibbs Texture Modelling with Learnt Freeform Filters
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    Chapter 35 Shape Normalizing and Tracking Dancing Worms
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    Chapter 36 Entity Extraction and Correction Based on Token Structure Model Generation
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    Chapter 37 Detecting Ellipses in Elongated Shapes Using the Thickness Profile
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    Chapter 38 Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders
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    Chapter 39 Gesture Input for GPS Route Search
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    Chapter 40 GPS Trajectory Biometrics: From Where You Were to How You Move
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    Chapter 41 Enriched Bag of Words for Protein Remote Homology Detection
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    Chapter 42 The Average Mixing Matrix Signature
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    Chapter 43 Exact Graph Edit Distance Computation Using a Binary Linear Program
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    Chapter 44 Approximating Graph Edit Distance Using GNCCP
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    Chapter 45 Generalised Median of a Set of Correspondences Based on the Hamming Distance
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    Chapter 46 A Graph Repository for Learning Error-Tolerant Graph Matching
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    Chapter 47 Graph Edit Distance or Graph Edit Pseudo-Distance?
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    Chapter 48 Handwritten Word Image Categorization with Convolutional Neural Networks and Spatial Pyramid Pooling
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    Chapter 49 A Novel Graph Database for Handwritten Word Images
  51. Altmetric Badge
    Chapter 50 Graph-Based Keyword Spotting in Historical Handwritten Documents
  52. Altmetric Badge
    Chapter 51 Local Binary Pattern for Word Spotting in Handwritten Historical Document
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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
21 X users
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2 patents
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3 Facebook pages

Citations

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2 Dimensions

Readers on

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22 Mendeley
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Title
Structural, Syntactic, and Statistical Pattern Recognition
Published by
Lecture notes in computer science, December 2016
DOI 10.1007/978-3-319-49055-7
ISBNs
978-3-31-949054-0, 978-3-31-949055-7
Editors

Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 9%
Researcher 1 5%
Unknown 19 86%
Readers by discipline Count As %
Computer Science 1 5%
Engineering 1 5%
Unknown 20 91%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 09 December 2022.
All research outputs
#2,092,974
of 25,506,250 outputs
Outputs from Lecture notes in computer science
#338
of 8,164 outputs
Outputs of similar age
#40,061
of 417,300 outputs
Outputs of similar age from Lecture notes in computer science
#18
of 277 outputs
Altmetric has tracked 25,506,250 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 95% 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 417,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 277 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 93% of its contemporaries.