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Advances in Computer Vision

Overview of attention for book
Cover of 'Advances in Computer Vision'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Selection of Personnel Based on Multicriteria Decision Making and Fuzzy Logic
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    Chapter 2 Data-Driven Multi-step Demand Prediction for Ride-Hailing Services Using Convolutional Neural Network
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    Chapter 3 Sentiment Classification of User Reviews Using Supervised Learning Techniques with Comparative Opinion Mining Perspective
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    Chapter 4 Asymmetric Laplace Mixture Modelling of Incomplete Power-Law Distributions: Application to ‘Seismicity Vision’
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    Chapter 6 Iceberg Detection by CNN Based on Incidence-Angle Confusion
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    Chapter 7 The Effectiveness of Distinctive Information for Cancer Cell Analysis Through Big Data
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    Chapter 8 Forecasting Food Sales in a Multiplex Using Dynamic Artificial Neural Networks
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    Chapter 9 Automatic Detection of Vibration Patterns During Production Test of Aircraft Engines
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    Chapter 10 Cooperation of Virtual Reality and Real Objects with HoloLens
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    Chapter 11 Ontology of Ubiquitous Learning: WhatsApp Messenger Competes Successfully with Learning Management Systems (LMS)
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    Chapter 12 Feature Map Transformation for Multi-sensor Fusion in Object Detection Networks for Autonomous Driving
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    Chapter 13 Cross-Safe: A Computer Vision-Based Approach to Make All Intersection-Related Pedestrian Signals Accessible for the Visually Impaired
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    Chapter 14 AutoViDev: A Computer-Vision Framework to Enhance and Accelerate Research in Human Development
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    Chapter 15 Application of Remote Sensing for Automated Litter Detection and Management
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    Chapter 16 Design and Evaluation of a Virtual Reality-Based Car Configuration Concept
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    Chapter 17 Using Computer Vision Techniques for Parking Space Detection in Aerial Imagery
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    Chapter 18 Hybrid Navigation Information System for Minimally Invasive Surgery: Offline Sensors Registration
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    Chapter 19 Seeking Optimum System Settings for Physical Activity Recognition on Smartwatches
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    Chapter 20 SURF Based Copy Move Forgery Detection Using kNN Mapping
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    Chapter 21 A Preliminary Approach to Using PRNU Based Transfer Learning for Camera Identification
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    Chapter 22 Accident Recognition via 3D CNNs for Automated Traffic Monitoring in Smart Cities
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    Chapter 23 On Image Based Enhancement for 3D Dense Reconstruction of Low Light Aerial Visual Inspected Environments
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    Chapter 24 Robots in Healthcare: A Survey
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    Chapter 25 An Efficient Approach for Detecting Moving Objects and Deriving Their Positions and Velocities
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    Chapter 26 Adaptive Fusion of Sub-band Particle Filters for Robust Tracking of Multiple Objects in Video
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    Chapter 27 Human Tracking for Facility Surveillance
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    Chapter 28 Near Real-Time Robotic Grasping of Novel Objects in Cluttered Scenes
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    Chapter 29 Identifying Emerging Trends and Temporal Patterns About Self-driving Cars in Scientific Literature
  30. Altmetric Badge
    Chapter 30 Making a Simple Game in Unreal™ Engine: Survival Knight
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    Chapter 31 Towards Approximate Sphere Packing Solutions Using Distance Transformations and Dynamic Logic
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    Chapter 32 Automatic Nucleus Segmentation with Mask-RCNN
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    Chapter 33 Stereo Vision Based Object Detection Using V-Disparity and 3D Density-Based Clustering
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    Chapter 34 Building a Weighted Graph to Avoid Obstacles from an Image of the Environment
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    Chapter 35 Performance Evaluation of Autoencoders for One-Shot Classification of Infectious Chlamydospore
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    Chapter 36 Ursa: A Neural Network for Unordered Point Clouds Using Constellations
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    Chapter 38 Context-Based Object Recognition: Indoor Versus Outdoor Environments
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    Chapter 39 Comparison of Machine Learning Algorithms for Classification Problems
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    Chapter 40 Automatic Recognition System for Dysarthric Speech Based on MFCC’s, PNCC’s, JITTER and SHIMMER Coefficients
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    Chapter 41 CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
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    Chapter 42 Constrainted Loss Function for Classification Problems
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    Chapter 43 Machine Learning and Education in the Human Age: A Review of Emerging Technologies
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    Chapter 44 3M2RNet: Multi-Modal Multi-Resolution Refinement Network for Semantic Segmentation
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    Chapter 45 Cognitive Consistency Routing Algorithm of Capsule-Network
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    Chapter 46 Minimizing the Worst Case Execution Time of Diagnostic Fault Queries in Real Time Systems Using Genetic Algorithm
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    Chapter 47 MNIST Dataset Classification Utilizing k-NN Classifier with Modified Sliding-Window Metric
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    Chapter 48 Comparative Feature-Ranking Performance of Machine Learning: Model Classifiers in Skin Segmentation and Classification
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    Chapter 49 Using a 3D Computer Vision System for Inspection of Reinforced Concrete Structures
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    Chapter 50 Specular Photometric Stereo for Surface Normal Estimation of Dark Surfaces
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    Chapter 51 XMIAR: X-ray Medical Image Annotation and Retrieval
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    Chapter 52 Visual Percepts Quality Recognition Using Convolutional Neural Networks
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    Chapter 53 Automated Control Parameters Systems of Technological Process Based on Multiprocessor Computing Systems
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    Chapter 54 Image Retrieval Method Based on Back-Projection
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    Chapter 55 Investigating the Effect of Noise on Facial Expression Recognition
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    Chapter 56 The Language of Motion MoCap Ontology
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    Chapter 57 An Improved Compressive Tracking Approach Using Multiple Random Feature Extraction Algorithm
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    Chapter 58 Classical Algorithm vs. Machine Learning in Objects Recognition
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    Chapter 59 Segmentation of Color-Coded Underground Utility Markings
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    Chapter 60 Character Localization Based on Support Vector Machine
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
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
9 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
289 Mendeley
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Title
Advances in Computer Vision
Published by
arXiv, July 2019
DOI 10.1007/978-3-030-17798-0
ISBNs
978-3-03-017797-3, 978-3-03-017798-0
Authors

Jeremiah W. Johnson

Editors

Arai, Kohei, Kapoor, Supriya

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 289 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 49 17%
Student > Ph. D. Student 47 16%
Researcher 26 9%
Student > Bachelor 24 8%
Student > Doctoral Student 9 3%
Other 31 11%
Unknown 103 36%
Readers by discipline Count As %
Computer Science 79 27%
Engineering 41 14%
Agricultural and Biological Sciences 8 3%
Environmental Science 7 2%
Biochemistry, Genetics and Molecular Biology 5 2%
Other 35 12%
Unknown 114 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 August 2021.
All research outputs
#5,881,224
of 24,099,692 outputs
Outputs from arXiv
#117,624
of 1,020,419 outputs
Outputs of similar age
#99,113
of 349,937 outputs
Outputs of similar age from arXiv
#3,798
of 28,525 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 88% 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 349,937 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 71% of its contemporaries.
We're also able to compare this research output to 28,525 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.