Artificial Intelligence and Soft Computing

Name: Artificial Intelligence and Soft Computing | 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I
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16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I

Leszek Rutkowski Marcin Korytkowski Rafal Scherer Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada(Herausgeber*in)

Springer (Verlag)

Erschienen am 1. Juni 2017

XXIV, 776 Seiten

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Inhalt

Intro
Preface
Organization
Contents - Part I
Contents - Part II
Neural Networks and Their Applications
Author Profiling with Classification Restricted Boltzmann Machines
1 Introduction
2 Author Profile Dimensions
3 Restricted Boltzmann Machines
4 Probabilities and Gradients
4.1 Discriminative Training
4.2 Generative Training
5 Evaluation Datasets
6 Experiments and Results
6.1 Overall Results
7 Conclusions
References
Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm
1 Introduction
2 Givens Elimination Step
3 Givens QR Decomposition
4 QR Decomposition in Neural Network Weights Update
5 Parallel Implementation
6 Simulation Results
7 Conclusion
References
Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation
1 Introduction
2 Parallel Realisation
2.1 Calculating the Weight Derivatives Without Error Backpropagation
2.2 Calculating the A Matrix and the Gradient Vector
2.3 The QR Decomposition Based on the Householser Reflections
3 Computational Results
4 Conclusions
References
Spectral Analysis of CNN for Tomato Disease Identification
Abstract
1 Introduction
2 Related Works
3 Spectral Analysis of CNN for Tomato Disease
3.1 Deep Visualization of CNN
3.2 Color Sensitivity of RGB Images
3.3 Sensitivity to Color with Different Wavelength Values
3.3.1 Visible Spectrum of Images
4 Experimental Results
4.1 Dataset Description
4.2 CNN Activations and Features Visualization
4.2.1 Activations of Neurons
4.2.2 RGB Color Sensitivity
4.2.3 Feature Maps
5 Conclusion and Future Work
Acknowledgments
References
From Homogeneous Network to Neural Nets with Fractional Derivative Mechanism
1 Introduction
2 Weight Distribution with Fractional Calculus
3 Fractional Derivative Inside Neuron Transfer Function
4 The Fractional Mechanism Within 2D Homogeneous Network
5 Conclusion
References
Neurons Can Sort Data Efficiently
1 Introduction
2 Models of Neurons, Receptors, and the Senses
2.1 Sensory Fields and Sensors
2.2 Extreme, Sensory and Object Neurons
3 Simplistic Sequential Neural Associative Sorting
4 Conclusions and Remarks
References
Avoiding Over-Detection: Towards Combined Object Detection and Counting
1 Introduction
2 Related Work
2.1 Deep Learning Methods for Object Detection
2.2 Deep Learning Methods for Cell Detection
3 Method
3.1 Loss Function
3.2 Model Architecture
4 Results
5 Conclusion
References
Echo State Networks Simulation of SIR Distributed Control
1 Introduction
2 Echo State Networks
3 SIR Model with Delay and Spatial Diffusions
3.1 Distributed Optimal Control Problem
4 Discretisation and Adaptive Critic Neural Networks Solution of the Distributed Optimal Control
4.1 Numerical Simulation
5 Conclusion
References
The Study of Architecture MLP with Linear Neurons in Order to Eliminate the ``vanishing Gradient'' Problem
1 Introduction
2 Nonlinearity capabilities of deep neural networks
3 Approach for Resolving Vanishing Gradient Problem
4 Experimental Results
5 Conclusions
References
Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification
1 Introduction
2 Nonlinear Function Learning
3 Recursive Classification Rules
4 Consistency and Rates of Convergence
4.1 Convergence Results
4.2 Outlines of Proofs
5 Conclusions
References
Solar Event Classification Using Deep Convolutional Neural Networks
1 Introduction
2 Background
2.1 Convolutional Neural Networks
2.2 Solar Event Classification
3 Methods
3.1 Data
3.2 CNN Architectures
4 Experiments
4.1 Experimental Setup
4.2 Evaluation of the Models
4.3 Comparison with Conventional Methods
5 Conclusions
References
Sequence Learning in Unsupervised and Supervised Vector Quantization Using Hankel Matrices
1 Introduction
2 Hankel Matrices - Mathematical Description and Properties
2.1 General Definition of Hankel Matrices
2.2 Dissimilarity Measures for Hankel Matrices
3 Unsupervised and Supervised Neural Vector Quantization for Hankel matrices
3.1 Unsupervised Neural Vector Quantization
3.2 Supervised Neural Vector Quantization
3.3 Hankel Matrices and Neural Vector Quantization
4 Existing Application Scenarios and New Perspectives for DNA Sequence Analysis
5 Conclusion
References
Discrete Cosine Transformation as Alternative to Other Methods of Computational Intelligence for Function Approximation
1 Introduction
2 Discrete Cosine Transform
3 Reduction of the System Size with DCT
4 Converting Randomly Distributed Patterns into a Regular Grid
5 Comparison of Selected Methods
6 Conclusions
References
Improvement of RBF Training by Removing of Selected Pattern
1 Introduction
2 Reduction of the Number of Training Patterns
2.1 Error Correction Algorithm
2.2 Proposed Methodologies
3 Experimental Results
3.1 Peaks Function
3.2 Rastrigin Function
3.3 Schaffer Function
4 Conclusions
References
Exploring the Solution Space of the Euclidean Traveling Salesman Problem Using a Kohonen SOM Neural Network
1 Introduction
2 Short Formulation of the ETSP Problem
3 The Kohonen SOM Algorithm for Solving ETSP
3.1 SOM Learning
4 Exploring ETSP Solution Space
4.1 Starting Solutions
4.2 Computing the Tour Corresponding to the Actual Neuron's Locations
4.3 Algorithm
5 Simulation Study Using TSPLIB Examples
5.1 Pbc3038 Problem (TSPLIB)
5.2 pbc1173 Problem (TSPLIB)
5.3 bier127 Problem TSPLIB
6 Comments and Conclusions
References
Resolution Invariant Neural Classifiers for Dermoscopy Images of Melanoma
1 Introduction
1.1 Medical Background
1.2 Wavelets
1.3 Melanoma CAD with ANN
1.4 Motivation
2 Data Analysis
2.1 Signal Processing
2.2 Wavelet Features
2.3 Machine Learning
3 Results and Discussion
References
Application of Stacked Autoencoders to P300 Experimental Data
1 Introduction
1.1 P300 Brain-Computer Interfaces
1.2 Aims of this Paper
2 Theoretical Background
2.1 Deep Learning Models
2.2 Stacked Autoencoders
3 Experimental Design
3.1 Measurement
3.2 Guess the Number Application for On-line and Off-line BCI Classification
4 P300 Detection
4.1 Preprocessing and Feature Extraction
4.2 Classification
5 Results
6 Discussion and Future Work
References
NARX Neural Network for Prediction of Refresh Timeout in PIM--DM Multicast Routing
1 Introduction
2 PIM--DM
3 PIM--DM Protocol Overview
4 PIM--DM Protocol State
5 Refresh Timeout
6 Nonlinear Autoregressive Network for Prediction of Refresh Timeout
7 Simulation Results
8 Conclusions
References
Evolving Node Transfer Functions in Deep Neural Networks for Pattern Recognition
1 Introduction
2 Evolution of Deep Neural Networks
3 Pattern Recognition Benchmarks
3.1 Brodatz Textures
3.2 Handwritten Digits
3.3 COIL-100
4 Experimental Setting
4.1 Initial Architecture of the Deep Neural Network
4.2 Node Transfer Functions
4.3 Representation of the Deep Evolutionary Neural Network
4.4 Search Operators
5 Results
6 Conclusions
References
A Neural Network Circuit Development via Software-Based Learning and Circuit-Based Fine Tuning
Abstract
1 Introduction
2 Memristor-Based Neural Network
2.1 The Memristor Bridge Synapse
2.2 Memristor-Based Neural Networks
3 Proposed Hybrid Learning: Hardware Friendly Error-Backpropagation and Circuit-Based Complementary ...
3.1 Random Weight Change Algorithm for Circuit-Based Learning
3.2 Hybrid Learning: Software-Based Confined Learning and Circuit-Based Complementary Learning with ...
4 Simulation Results
5 Conclusions
References
Fuzzy Systems and Their Applications
A Comparative Study of Two Novel Approaches to the Rule-Base Evidential Reasoning
1 Introduction
2 Preliminaries
2.1 The Basics of DST
2.2 The Basics of A-IFS
2.3 Interpretation of A-IFS in the Framework of DST
3 Two New Approaches to the Rule-Based Evidential Reasoning: Comparative Study
4 Conclusion
References
STRIPS in Some Temporal-Preferential Extension
1 Introduction
1.1 The Paper Motivation and Objectives
1.2 The Paper Organization
2 Terminological Background of the Paper Analysis
2.1 STRIPS -- in the Original Nilsson's Depiction
2.2 Fuzzy Temporal Constraints and Preferences Based on Them
3 Fuzzy Temporal Constraints and Global Preferences in STRIPS
4 TP-STRIPS in Use
5 Towards a Generalization and Closing Remarks
References
Geometrical Interpretation of Impact of One Set on Another Set
1 Introduction
2 Matching of Fuzzy Sets
3 Matching of Multisets
4 Conclusions
References
A Method for Nonlinear Fuzzy Modelling Using Population Based Algorithm with Flexibly Selectable Operators
1 Introduction
2 Description of Proposed Method
2.1 Description of Neuro-Fuzzy System Used for Nonlinear Modeling
2.2 Encoding of the Individuals
2.3 Evaluation of the Individuals
2.4 Processing of the Individuals
3 Simulations
4 Conclusions
References
Fuzzy Portfolio Diversification with Ordered Fuzzy Numbers
1 Introduction
2 Portfolio Diversification Problem
3 Fuzzy Background Concepts
3.1 Ordered Fuzzy Numbers (OFN)
3.2 Ordered Fuzzy Candlesticks (OFC)
3.3 Fuzzy Returns and Their Excepted Value and Covariance
4 Fuzzy Portfolio Diversification Problem
5 Numerical Example
6 Conclusion
References
Using a Hierarchical Fuzzy System for Traffic Lights Control Process
1 Introduction
2 Problem of Rules
3 An Architecture of Traditional FS for Traffic Light Control
4 Proposed Hierarchical Fuzzy Logic System for Traffic Lights Control
5 Description of Experiments
6 Conclusions
References
Hierarchical Fuzzy Logic Systems in Classification: An Application Example
1 Introduction
1.1 Motivation for Developing Hierarchical FLSs
1.2 Description of Datasets
2 Literature References and Former Works
2.1 Classification References
3 Learning Rules Algorithm for Hierarchical Fuzzy Logic Systems
4 Tests and Results
4.1 Tests
4.2 Results
5 Conclusions and Future Work
References
A Bullying-Severity Identifier Framework Based on Machine Learning and Fuzzy Logic
1 Introduction
2 Background and Literature Review
2.1 Definition of Bullying
2.2 Types of Bullying
2.3 Participants in a Bullying Episode
2.4 Bullying Assessment Matrix
2.5 Prior Work in Computer Science
2.6 Support Vector Machine in Text Classification
2.7 Fuzzy Logic System
3 Proposed Approach
3.1 Task 1: Text Pre-processing
3.2 Task 2: Text Classification Using SVM Classifiers
3.3 Task 3: Development of the Fuzzy Logic System
3.4 Task 4: Development of a Social Network and Java Swing Application
4 Results and Discussion
5 Conclusion
References
Evolutionary Algorithms and Their Applications
On the Efficiency of Successful-Parent Selection Framework in the State-of-the-art Differential Evolution Variants
1 Introduction
2 Differential Evolution Algorithm
3 State-of-the-art De Variants
4 DE with Successful-Parent Selection Framework
5 Experimental Setting
6 Results
7 Conclusion
References
State Flipping Based Hyper-Heuristic for Hybridization of Nature Inspired Algorithms
1 Introduction
2 Hybridization Method
2.1 Description and Pseudocode
2.2 Krill Herding (KH)
2.3 Artificial Bee Colony (ABC)
2.4 Summary
3 Benchmarks
4 Conclusions
References
Improved CUDA PSO Based on Global Topology
1 Introduction
2 Previous Reports on GPU PSO
3 Neighborhood Topologies and Population Size in PSO
4 Optimized CUDA Gbest PSO
4.1 Basic CUDA Gbest PSO
4.2 Transfer Optimization
4.3 Thread Optimization
4.4 Pinned Memory and Zero-copy mechanism
4.5 Optimized CUDA Gbest PSO experiment
5 Experiments, Results, and Discussion
5.1 Three-Dimensional Tests
5.2 Multi-dimensional Tests
6 Conclusions
References
Optimization of Evolutionary Instance Selection
1 Introduction
2 Classical Instance Selection Methods
3 Optimization of Genetic Algorithms Parameters
4 Evolutionary Algorithms for Instance Selection and Instance Weighting
5 Experiments and Results
6 Conclusions
References
Dynamic Difficulty Adjustment for Serious Game Using Modified Evolutionary Algorithm
1 Introduction
2 Related Work
3 Problem Definition
4 Modified Evolutionary Algorithm
4.1 Saved Solutions Table [M1]
4.2 Failed Difficulty Point for the Game Element [M2]
4.3 Local Optimization Algorithms
5 Experiments
5.1 Results
6 Conclusion
References
Hybrid Initialization in the Process of Evolutionary Learning
1 Introduction
2 Description of Proposed Hybridization Approach
3 Simulations
4 Conclusions
References
A Tuning of a Fractional Order PID Controller with the Use of Particle Swarm Optimization Method
Abstract
1 An Introduction
2 Preliminaries
2.1 Elementary Ideas from Fractional Order Calculus
2.2 The Ostaloup Recursive Approximation (ORA)
2.3 The CFE Approximation
2.4 Particle Swarm Optimization Algorithm
3 The Closed Loop Control System with High Order Plant and FO PID Controller
4 The Proposed Tuning Algorithm
5 Results of Experiments
6 Final Conclusions
Acknowledgements
References
Controlling Population Size in Differential Evolution by Diversity Mechanism
1 Introduction
2 Differential Evolution
3 Linear Reduction of Population Size
4 Diversity-Based Resizing Mechanism
5 Algorithms in Experiments
6 Experiments and Results
7 Conclusion
References
Cosmic Rays Inspired Mutation in Genetic Algorithms
1 Introduction
2 Proposed Mutation Model
3 Benchmark Functions
3.1 Simple Unimodal Problem
3.2 Ackley Function
3.3 Rosenbrock Function
3.4 Schwefel Function
3.5 Rastrigin Function
3.6 Solving a Minimization Problem
4 Numerical Results
5 Summary
References
OC1-DE: A Differential Evolution Based Approach for Inducing Oblique Decision Trees
1 Introduction
2 Induction of Decision Trees for Classification
3 Metaheuristics for Inducing Oblique Decision Trees
4 Differential Evolution Algorithm
5 OC1-DE Method for Inducing Oblique Decision Trees
6 Experiments
7 Conclusions
References
An Application of Generalized Strength Pareto Evolutionary Algorithm for Finding a Set of Non-Dominated Solutions with High-Spread and Well-Balanced Distribution in the Logistics Facility Location Problem
1 Introduction
2 A Generalization of SPEA2 Approach - an Outline
3 The Logistic Facilities Location Problem
4 Experimental Results
5 Conclusions
References
Efficient Creation of Population of Stable Biquad Sections with Predefined Stability Margin for Evolutionary Digital Filter Design Methods
1 Introduction
2 IIR Digital Filter Biquad Section
3 Q.M Fixed-Point Format
4 Biquad Section Stability and Stability Margin
5 Proposed Approach
6 Description of Experiments
7 Conclusions
References
Computer Vision, Image and Speech Analysis
Contiguous Line Segments in the Ulam Spiral: Experiments with Larger Numbers
1 Introduction
2 Method in Brief
3 Larger Numbers, Formerly Used Directions
4 Larger Set of Directions, Formerly Used Numbers
5 Conclusion
References
Parallel Realizations of the Iterative Statistical Reconstruction Algorithm for 3D Computed Tomography
1 Introduction
2 3D Reconstruction Algorithm for the Spiral Cone-Beam Scanner
3 Experimental Results
4 Conclusion
References
Efficient Real-Time Background Detection Based on the PCA Subspace Decomposition
Abstract
1 Introduction
2 Subspace Based Background Subtraction Method
2.1 PCA Background Subtraction
2.2 Eigen-Decomposition Method for Efficient Background Subtraction
3 Experimental Results
4 Conclusions
Acknowledgement
References
The Image Classification with Different Types of Image Features
1 Introduction
2 Algorithms Used in the Proposed Approach
2.1 SURF
2.2 Modified k-means Algorithm
3 Proposed Approach
4 Experimental Research
5 Conclusions
References
Local Keypoint-Based Image Detector with Object Detection
1 Introduction
2 Speeded-Up Robust Features (SURF)
3 Canny Edge Detection
4 Proposed Method for Image Description
5 Experimental Results
6 Conclusion
References
Heavy Changes in the Input Flow for Learning Geography of a Robot Environment
1 Introduction
2 Used Concepts and Related Works
2.1 The Levenshtein Distance
2.2 Non-Cartesian Navigation
2.3 Geography of the Lowest Level
2.4 Related Works
3 A Draft Scheme for Detection of Heavy Changes
3.1 Sensor System for Learning Geography of the Virtual Robot
3.2 Main Idea for Detection of Heavy Changes
4 Specific Issues of Detection of Heavy Changes
4.1 An Enriched Description of Symbols for Computing the Levenshtein Distance
4.2 Interpretation of an Editorial Prescription
5 Experiments
6 Conclusions
References
Constant-Time Fourier Moments for Face Detection --- Can Accuracy of Haar-Like Features Be Beaten?
1 Introduction
2 Haar-Like Features --- Short Review
3 Constant-Time Fourier Moments via Integral Images
4 Window Paritioning --- Piecewise Approximations
5 Face Detection Experiments
6 Conclusions
References
Neural Video Compression Based on PVQ Algorithm
1 Introduction
2 Related Works
2.1 Predictive Vector Quantization
2.2 Encoding Color Information
3 Proposed Method
4 Experimental Results
5 Conclusions and Future Work
References
Taming the HoG: The Influence of Classifier Choice on Histogram of Oriented Gradients Person Detector Performance
1 Introduction
2 The HoG Region Descriptor
3 The Tested Classifiers
3.1 Support Vector Machines
3.2 Decision Tree Classifier
3.3 Random Forest Classifier
4 Evaluation Methodology
5 Results and Discussion
6 Conclusions
References
Virtual Cameras and Stereoscopic Imaging for the Supervision of Industrial Processes
Abstract
1 Introduction
2 Segmentation
3 Transformation to Orthoimage
4 Synthetic View from Arbitrary Location and Stereoscopic Imaging
5 Conclusions
Acknowledgments
References
Object Detection with Few Training Data: Detection of Subsiding Troughs in SAR Interferograms
Abstract
1 Introduction
2 Detection of Troughs' Centres Without Learning Samples
3 Gabor Features Calculated Directly from the Image in Cartesian Coordinates
4 Conclusions
References
FPGA-Based System for Fast Image Segmentation Inspired by the Network of Synchronized Oscillators
1 Introduction
2 Network Architecture
3 System Validation - Segmentation Results
4 Discussion and Conclusion
References
From Pattern Recognition to Image Understanding
1 Introduction
2 Machine Pattern Recognition and Localization
3 Image Understanding
4 Granular Computing
5 Active Partitions
6 Summary
References
Linguistic Description of Color Images Generated by a Granular Recognition System
1 Introduction
2 Color Granules in the CIE Chromaticity Diagram
3 Image Recognition by the Granular System
4 Location of the Color Granules in Input Images
5 Linguistic Description Produced by the Granular System
6 An Example of Results for a Single Image
7 Directions of Further Research
7.1 Inference and Linguistic Description for a Collection of Images
7.2 Inference Concerning Shape Granules
7.3 Image Understanding
7.4 Luminance
8 Conclusions and Final Remarks
References
Bioinformatics, Biometrics and Medical Applications
Classification of Physiological Data for Emotion Recognition
1 Introduction
1.1 Motivation
1.2 Related Works
2 Materials and Methods
2.1 Signal Preprocessing
2.2 Feature Selection
2.3 Classification
3 Results
3.1 Data Acquisition Process
3.2 Data Analysis Results
4 Conclusion and Future Works
References
Biomimetic Decision Making in a Multisensor Assisted Living Environment
1 Introduction
2 Related Work
3 Multisensory Surveillance System for Elderly
4 Reliability of Pose and Activity Detection
5 Reliability-Driven Rough Decision Making
5.1 General Assumptions and System Design
5.2 Stability Condition for Modulated Sensor Set
5.3 Predictive Modulation of Sensors' Contribution
6 Case Study
7 Conclusion
References
Classification of Splice-Junction DNA Sequences Using Multi-objective Genetic-Fuzzy Optimization Techniques
1 Introduction
2 Splice-Junction Classification Problem
3 Brief Characteristics of Main Components of the Proposed Fuzzy Rule-Based Classifiers (FRBCs) and Their Multi-objective Genetic Optimization
4 Application to DNA Splice-Junction Classification Based on Molecular Biology (Splice-Junction Gene Sequences) data
5 Concluding Remarks
References
Automatic Detection of Blue-Whitish Veil as the Primary Dermoscopic Feature
1 Introduction
1.1 Motivation
1.2 Clinical Significance
1.3 Related Works
2 Materials and Methods
2.1 Dermoscopy Image Preprocessing
2.2 Skin Mole Segmentation
2.3 Feature Calculation
2.4 Detection of Blue-Whitish Veil
3 Results
4 Conclusion and Future Work
References
Bio-inspired Topology of Wearable Sensor Fusion for Telemedical Application
1 Introduction
2 Hardware Setup
2.1 Architecture of the Developed Prototype
2.2 Power Supply and Interfaces
2.3 Sensors
3 Methods, Results and Discussion
4 Conclusion and Future Works
References
An Evaluation of Fuzzy Measure for Face Recognition
1 Introduction
2 The Role of Choquet Integral and PSO in the Process of Aggregation of Classifiers
3 Experimental Results
4 Conclusions and Future Studies
References
Analysis of Dermatoses Using Segmentation and Color Hue in Reference to Skin Lesions
1 Introduction
2 Revision of Melanocytic Lesions
3 Dermoscopic Databases
3.1 Examples of Dermoscopic Databases Validated by Dermatologists
3.2 DermDB
4 Research Methodology
4.1 Description of the Procedure of Image Analysis
4.2 The Process of Image Segmentation
4.3 Lesions Clinical Feature Segmentation Method Using PCA
4.4 Modified Pattern Analysis
5 Results of LesionCFSM Method
6 Summary
References
Improving Data Locality of RNA Secondary Structure Prediction Code
1 Introduction
2 Background
3 The Nussinov Algorithm
4 Tiling of the Nussinov Loop Nest
5 Experiments
6 Discussion and Related Work
7 Conclusion
References
Robust Detection of Systolic Peaks in Arterial Blood Pressure Signal
1 Introduction
2 Algorithm Description
2.1 Signal Pre-processing
2.2 Estimation of the Amplitude Threshold
2.3 Determination of ABP Quality Signal
3 Numerical Experiment and Results
4 Conclusions
References
Fuzzy System as an Assessment Tool for Analysis of the Health-Related Quality of Life for the People After Stroke
1 Introduction
2 Clinical Scores to Evaluate
3 Basics of the Fuzzy Evaluation Model
4 Fuzzy Evaluator of HRQoL
4.1 Hierarchical Model of Evaluation
4.2 Evaluator - Fuzzy Sets for First Level Fuzzy Systems
4.3 Evaluator - Fuzzy Sets for Output Fuzzy System
4.4 Rules of First Level of Fuzzy Evaluator
4.5 Rules of Second Level of Fuzzy Evaluator
4.6 The Parameters of Fuzzy System
5 Practical Results
6 Conclusions and Future Actions
References
Exploratory Analysis of Quality Assessment of Putative Intrinsic Disorder in Proteins
Abstract
1 Introduction
2 Materials and Methods
2.1 Dataset
2.2 Putative Annotations of Intrinsic Disorder
2.3 Definition of Quality Assessment for Putative Intrinsic Disorder
2.4 Evaluation Measures
3 Results
4 Conclusions
Acknowledgments
References
Stability Evaluation of the Dynamic Signature Partitions Over Time
1 Introduction
2 Introduction to the Partitioning of the Dynamic Signature
3 Description of the Adopted Criteria for Evaluation of the Dynamic Signature Partitions Variability Over Time
4 Simulation Results
5 Conclusions
References
A Method for Genetic Selection of the Most Characteristic Descriptors of the Dynamic Signature
1 Introduction
2 Introduction to Determination of the Dynamic Signature Descriptors
2.1 Descriptors of the Dynamic Signature Expressed in the Form of Global Features
2.2 Descriptors of the Dynamic Signature Expressed in the Form of Partitions' Components
2.3 Dynamic Signature Verification Using Descriptors
3 Genetic Selection of the Descriptors
3.1 Encoding of Solutions
3.2 Processing of Solutions
3.3 Evaluation of Solutions
4 Simulation Results
5 Conclusions
References
A Method for Changes Prediction of the Dynamic Signature Global Features over Time
1 Introduction
2 Method for Prediction Values of the Dynamic Signature Global Features
2.1 Preparation of Learning and Testing Data
2.2 Training and Testing
3 Simulations
4 Conclusions
References
Author Index

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