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Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications

Overview of attention for book
Cover of 'Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Model Development and Incremental Learning Based on Case-Based Reasoning for Signal and Image Analysis
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    Chapter 2 CVT-Based 3D Image Segmentation for Quality Tetrahedral Meshing
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    Chapter 3 Structuring Digital Spaces by Path-Partition Induced Closure Operators on Graphs
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    Chapter 4 Atypical (Rare) Elements Detection – A Conditional Nonparametric Approach
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    Chapter 5 Finding Shortest Isothetic Path Inside a 3D Digital Object
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    Chapter 6 Unified Characterization of P -Simple Points in Triangular, Square, and Hexagonal Grids
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    Chapter 7 Concepts of Binary Morphological Operations Dilation and Erosion on the Triangular Grid
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    Chapter 8 Boundary and Shape Complexity of a Digital Object
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    Chapter 9 Interior and Exterior Shape Representations Using the Screened Poisson Equation
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    Chapter 10 Picture Scanning Automata
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    Chapter 11 Two-Dimensional Input-Revolving Automata
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    Chapter 12 Direct Phasing of Crystalline Materials from X-ray Powder Diffraction
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    Chapter 13 Detection of Counterfeit Coins Based on Modeling and Restoration of 3D Images
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    Chapter 14 Automated Brain Tumor Diagnosis and Severity Analysis from Brain MRI
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    Chapter 15 Medical Image Segmentation Using Improved Affinity Propagation
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    Chapter 16 Simple Signed-Distance Function Depth Calculation Applied to Measurement of the fMRI BOLD Hemodynamic Response Function in Human Visual Cortex
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    Chapter 17 A Study of Children Facial Recognition for Privacy in Smart TV
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    Chapter 18 Scrambling Cryptography Using Programmable SLM-Based Filter for Video Streaming Over a WDM Network
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    Chapter 19 An Accelerated H.264/AVC Encoder on Graphic Processing Unit for UAV Videos
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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1 X user
wikipedia
1 Wikipedia page

Readers on

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19 Mendeley
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Title
Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-54609-4
ISBNs
978-3-31-954608-7, 978-3-31-954609-4
Editors

Reneta P. Barneva, Valentin E. Brimkov, João Manuel R.S. Tavares

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 5%
United Kingdom 1 5%
United States 1 5%
Unknown 16 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 37%
Student > Master 4 21%
Student > Doctoral Student 2 11%
Researcher 2 11%
Student > Postgraduate 1 5%
Other 3 16%
Readers by discipline Count As %
Engineering 9 47%
Computer Science 5 26%
Arts and Humanities 1 5%
Economics, Econometrics and Finance 1 5%
Agricultural and Biological Sciences 1 5%
Other 2 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 May 2022.
All research outputs
#7,012,293
of 22,958,253 outputs
Outputs from Lecture notes in computer science
#2,291
of 8,135 outputs
Outputs of similar age
#130,868
of 421,015 outputs
Outputs of similar age from Lecture notes in computer science
#65
of 149 outputs
Altmetric has tracked 22,958,253 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,135 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 70% 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 421,015 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 149 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 55% of its contemporaries.