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Progress in Computer Recognition Systems

Overview of attention for book
Cover of 'Progress in Computer Recognition Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Graph Grammar Models in Syntactic Pattern Recognition
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    Chapter 2 Computer Vision Methods for Non-destructive Quality Assessment in Additive Manufacturing
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    Chapter 3 Combined k NN Classifier for Classification of Incomplete Data
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    Chapter 4 Object Detection in Design Diagrams with Machine Learning
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    Chapter 5 Separation of Speech from Speech Interference Based on EGG
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    Chapter 6 Improving the Quality of Clustering-Based Diagnostic Rules by Lowering Dimension of the Cluster Prototypes
  8. Altmetric Badge
    Chapter 7 Exploiting Label Interdependencies in Multi-label Classification
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    Chapter 8 Toward Shareable Multi-abstraction-level Feature Extractor Based on a Bayesian Network
  10. Altmetric Badge
    Chapter 9 Factorization Machines for Blog Feedback Prediction
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    Chapter 10 Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning
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    Chapter 11 Segmentation of Subretinal Hyperreflective Material and Pigment Epithelial Detachment Using Kernel Graph Cut
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    Chapter 12 Road Tracking Using Deep Reinforcement Learning for Self-driving Car Applications
  14. Altmetric Badge
    Chapter 13 New Heuristics for TCP Retransmission Timers
  15. Altmetric Badge
    Chapter 14 Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing
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    Chapter 15 Segmentation of Scanned Documents Using Deep-Learning Approach
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    Chapter 16 cGAAM – An Algorithm for Simultaneous Feature Selection and Clustering
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    Chapter 17 Online Adaptation of Language Models for Speech Recognition
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    Chapter 18 Pedestrian Detection in Severe Lighting Conditions: Comparative Study of Human Performance vs Thermal-Imaging-Based Automatic System
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    Chapter 19 Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach
  21. Altmetric Badge
    Chapter 20 A Deep Learning Approach to Recognition of the Atmospheric Circulation Regimes
  22. Altmetric Badge
    Chapter 21 Deep Learning for Object Tracking in 360 Degree Videos
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    Chapter 22 Texture Features for the Detection of Playback Attacks: Towards a Robust Solution
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    Chapter 23 Image Smoothing Using $$\ell ^p$$ ℓ p Penalty for $$0\le p\le 1$$ 0 ≤ p ≤ 1 with Use of Alternating Minimization Algorithm
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    Chapter 24 Deep-Based Openset Classification Technique and Its Application in Novel Food Categories Recognition
  26. Altmetric Badge
    Chapter 25 Singing Power Ratio Analysis in the Context of the Influence of Warm up on Singing Voice Quality
  27. Altmetric Badge
    Chapter 26 Evaluation of a Feature Set with Word Embeddings to Improve Named Entity Recognition on Tweets
  28. Altmetric Badge
    Chapter 27 Introducing Action Planning to the Anticipatory Classifier System ACS2
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    Chapter 28 Supervised Classification Box Algorithm Based on Graph Partitioning
  30. Altmetric Badge
    Chapter 29 Algorithm of Multidimensional Analysis of Main Features of PCA with Blurry Observation of Facility Features Detection of Carcinoma Cells Multiple Myeloma
  31. Altmetric Badge
    Chapter 30 A New Benchmark Collection for Driver Fatigue Research Based on Thermal, Depth Map and Visible Light Imagery
  32. Altmetric Badge
    Chapter 31 Image Contrast Enhancement Based on Laplacian-of-Gaussian Filter Combined with Morphological Reconstruction
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    Chapter 32 Lattice Auto-Associative Memories Induced Multivariate Morphology for Hyperspectral Image Spectral-Spatial Classification
  34. Altmetric Badge
    Chapter 33 Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers
  35. Altmetric Badge
    Chapter 34 Hybrid Algorithm for the Detection and Recognition of Railway Signs
  36. Altmetric Badge
    Chapter 35 Combination of Linear Classifiers Using Score Function – Analysis of Possible Combination Strategies
  37. Altmetric Badge
    Chapter 36 Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification
Attention for Chapter 35: Combination of Linear Classifiers Using Score Function – Analysis of Possible Combination Strategies
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
7 X users

Citations

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2 Dimensions

Readers on

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4 Mendeley
Summary X Dimensions citations
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Chapter title
Combination of Linear Classifiers Using Score Function – Analysis of Possible Combination Strategies
Chapter number 35
Book title
Progress in Computer Recognition Systems
Published in
arXiv, May 2019
DOI 10.1007/978-3-030-19738-4_35
Book ISBNs
978-3-03-019737-7, 978-3-03-019738-4
Authors

Pawel Trajdos, Robert Burduk

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Student > Doctoral Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 May 2019.
All research outputs
#14,910,731
of 24,980,180 outputs
Outputs from arXiv
#239,168
of 1,018,032 outputs
Outputs of similar age
#182,976
of 356,882 outputs
Outputs of similar age from arXiv
#7,015
of 26,150 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,032 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 74% 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 356,882 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26,150 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.

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