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Computer Analysis of Images and Patterns

Overview of attention for book
Cover of 'Computer Analysis of Images and Patterns'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Novel Approach for Mobile Robot Localization in Topological Maps Using Classification with Reject Option from Structural Co-occurrence Matrix
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    Chapter 2 Robust Features for Snapshot Hyperspectral Terrain-Classification
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    Chapter 3 Improved Stixel Estimation Based on Transitivity Analysis in Disparity Space
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    Chapter 4 Mixing Hough and Color Histogram Models for Accurate Real-Time Object Tracking
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    Chapter 5 DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking
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    Chapter 6 Two-Letters-Key Keyboard for Predictive Touchless Typing with Head Movements
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    Chapter 7 Recognizing Interactions Between People from Video Sequences
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    Chapter 8 Deep Projective 3D Semantic Segmentation
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    Chapter 9 Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation
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    Chapter 10 Motion-Coherent Affinities for Hypergraph Based Motion Segmentation
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    Chapter 11 Robust Long-Term Aerial Video Mosaicking by Weighted Feature-Based Global Motion Estimation
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    Chapter 12 Multilinear Methods for Spatio-Temporal Image Recognition
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    Chapter 13 On the Essence of Unsupervised Detection of Anomalous Motion in Surveillance Videos
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    Chapter 14 Deep Boltzmann Machines Using Adaptive Temperatures
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    Chapter 15 Twin Deep Convolutional Neural Network for Example-Based Image Colorization
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    Chapter 16 Optimization of Facade Segmentation Based on Layout Priors
  18. Altmetric Badge
    Chapter 17 Development of a New Fractal Algorithm to Predict Quality Traits of MRI Loins
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    Chapter 18 A Visual Inspection Method Based on Periodic Feature for Wheel Mark Defect on Wafer Backside
  20. Altmetric Badge
    Chapter 19 Retinal Vessel Segmentation Using Matched Filter with Joint Relative Entropy
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    Chapter 20 Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild
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    Chapter 21 On the Use of the Tree Structure of Depth Levels for Comparing 3D Object Views
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    Chapter 22 The Classic Wave Equation Can Do Shape Correspondence
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    Chapter 23 A Hypergraph-Based Reranking Model for Retrieving Diverse Social Images
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    Chapter 24 Learning a Limited Text Space for Cross-Media Retrieval
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    Chapter 25 Speeding-Up Graph-Based Keyword Spotting by Quadtree Segmentations
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    Chapter 26 Ellipse Detection for Visual Cyclists Analysis “In the Wild”
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    Chapter 27 Visual Landmark Based 3D Road Course Estimation with Black Box Variational Inference
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    Chapter 28 Multiple Reflection Symmetry Detection via Linear-Directional Kernel Density Estimation
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    Chapter 29 CNN-Based Background Subtraction for Long-Term In-Vial FIM Imaging
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    Chapter 30 Bayesian Diffusion Tensor Estimation with Spatial Priors
  32. Altmetric Badge
    Chapter 31 Analysis of Multilinear Subspaces Based on Geodesic Distance
  33. Altmetric Badge
    Chapter 32 Streaming Algorithm for Euler Characteristic Curves of Multidimensional Images
Attention for Chapter 32: Streaming Algorithm for Euler Characteristic Curves of Multidimensional Images
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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 (75th percentile)

Mentioned by

twitter
7 X users
facebook
2 Facebook pages

Citations

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6 Dimensions

Readers on

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10 Mendeley
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Chapter title
Streaming Algorithm for Euler Characteristic Curves of Multidimensional Images
Chapter number 32
Book title
Computer Analysis of Images and Patterns
Published in
arXiv, May 2017
DOI 10.1007/978-3-319-64689-3_32
Book ISBNs
978-3-31-964688-6, 978-3-31-964689-3
Authors

Teresa Heiss, Hubert Wagner, Heiss, Teresa, Wagner, Hubert

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Student > Master 2 20%
Researcher 2 20%
Student > Bachelor 1 10%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 4 40%
Chemical Engineering 2 20%
Mathematics 2 20%
Engineering 1 10%
Unknown 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 October 2018.
All research outputs
#14,362,528
of 24,998,746 outputs
Outputs from arXiv
#204,207
of 1,020,287 outputs
Outputs of similar age
#155,532
of 316,373 outputs
Outputs of similar age from arXiv
#3,661
of 16,136 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,287 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 78% 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 316,373 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16,136 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.