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Intro
Editor's Preface
Contents
CapsNet vs CNN: Analysis of the Effects of Varying Feature Spatial Arrangement
1 Introduction
2 Related Works
3 Methodology
3.1 Dataset Generation
3.2 Convolutional Neural Network (CNN)
3.3 Capsule Network with Dynamic Routing (CapsNet)
4 Experimental Results and Discussion
5 Conclusions and Future Work
References
Improved 2D Human Pose Tracking Using Optical Flow Analysis
1 Introduction
2 Related Work
3 Definitions
4 Method
5 Results
6 Discussion and Conclusions
References

Transferability of Fast Gradient Sign Method
1 Introduction
2 Related Work
2.1 Adversarial Robustness Toolbox (ART)
2.2 Cleverhans
3 Concepts
3.1 Dataset
3.2 Image Quality Metrics
3.3 Frameworks
3.4 Image Classification Models
3.5 Fast Gradient Sign Method
4 Measurements
4.1 Transferability of Adversarial Examples
4.2 Quality Degradation
5 Future Work
6 Conclusion
References
Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy
1 Introduction
2 Digital Image Processing
2.1 DIARETDB Database

2.2 Blood Vessels
2.3 Optical Disk and Fovea
2.4 Microaneurysms and Hemorrhages
2.5 Exudates
3 Classifier Design
3.1 Support Vector Machine (SVM)
3.2 Artificial Neural Network (ANN)
3.3 Results
4 Conclusion
References
Adaptive Attention Mechanism Based Semantic Compositional Network for Video Captioning
1 Introduction
2 Related Work
3 Method
3.1 Encoding
3.2 Decoding
3.3 MLP
4 Experiment
4.1 Dataset
4.2 Preprocessing
4.3 Results
5 Conclusion
References

Estimated Influence of Online Management Tools on Team Management Based on the Research with the Use of the System of Organizational Terms
1 Introduction
2 Related Work on Human-Computer Interaction Research
3 The Theoretical Foundations of the System of Organizational Terms
4 Results of Research
5 Conclusions
References
Liveness Detection via Facial Expressions Queue
1 Introduction
2 Related Works
3 Liveness Detection System
4 Methods and Results
5 Conclusion
References
Java Based Application Development for Facial Identification Using OpenCV Library

1 Introduction
2 Using an Unmanned Aircraft for the Study
3 Development of the Application for Facial Identification
4 Conclusion
References
Challenges in Face Recognition Using Machine Learning Algorithms: Case of Makeup and Occlusions
1 Introduction
2 Artificial Neural Network Algorithms
2.1 Activation Functions
2.2 Learning Algorithms and Back-Propagation
2.3 Cost Functions
2.4 Convolutional Neural Networks
3 Engineered Features Algorithms
3.1 Bag of Features
3.2 Speeded-Up Robust Feature Detector and Descriptor
4 Data Set
5 Experiments

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