
Advances in Computational Intelligence
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
More details
Other editions
Additional editions

Content
- Title Page
- Preface
- Organization
- Table of Contents
- Video and Image Processing
- Lossy Image Compression Using a GHSOM
- Introduction
- The GHSOM Model
- Experimental Results
- Conclusions
- References
- Visual Features Extraction Based Egomotion Calculation from a Infrared Time-of-Flight Camera
- Introduction
- Time-of-Flight 3D Camera
- GNG Algorithm
- Applying a Feature Extraction Algorithm to Amplitude Images
- Egomotion from Visual Features
- Results
- Conclusions and Future Work
- References
- Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences
- Introduction
- Growing Competitive Neural Network
- Competition Step
- Update Step
- Neurons Birth and Death
- Feature Weighting Mechanism
- Discussion
- Results
- Conclusions
- References
- The Segmentation of Different Skin Colors Using the Combination of Graph Cuts and Probability Neural Network
- Introduction
- Image Processing for Different Skin Color Segmentation
- Image Inquiry and Coordinate Conversion
- Graph Cuts for the Candidates of Skin Color
- Noise Removal by Morphology Filtering, Connected Component Labeling and Area Constraint
- Classification of the Possible Skin Colors via Probability Neural Network
- Experiments
- Conclusion
- References
- Reduction of JPEG Compression Artifacts by Kernel Regression and Probabilistic Self-Organizing Maps
- Introduction
- Deblocking
- DCT Domain Restoration
- Smoothing
- Spatial Domain Restoration
- Experimental Results
- Conclusions
- References
- An Unsupervised Method for Active Region Extraction in Sports Videos
- Introduction
- Algorithm Description
- Active Region Extraction
- Back-Projection and Classification
- Region Thresholding and Labeling
- Region Tracking
- Experimental Results
- Conclusions
- References
- 6DoF Egomotion Computing Using 3D GNG-Based Reconstruction
- Introduction
- GNG Algorithm
- Features Extraction Method
- Using 3D Models: 6DoF Egomotion
- Conclusions and Future Work
- References
- Fast Image Representation with GPU-Based Growing Neural Gas
- Introduction
- Topology Learning
- Growing Neural Gas
- Accelerated Growing Neural Gas
- Representation of Objects with GNG
- GPU Implementation
- Experiments
- Conclusions
- References
- Texture and Color Analysis for the Automatic Classification of the Eye Lipid Layer
- Introduction
- Methodology
- Results
- Conclusions and Future Work
- References
- Quantitative Study and Monitoring of the Growth of Lung Cancer Nodule Using an X-Ray Computed Tomography Image Processing Tool
- Introduction
- Methodology
- X-Ray Computed Tomography
- DICOM Format
- Image Database
- Mathematical Basis Concepts and Algorithms Used
- System design
- High-Level View
- Description of the System
- Results
- Conclusion and Future Work
- References
- A Geometrical Method of Diffuse and Specular Image Components Separation
- Introduction
- Dichromatic Reflectance Model (DRM)
- General Description of the Method
- Chromatic Line Estimation
- Image Dichromatic Regularization
- Component Separation
- Experimental Results
- Conclusions
- References
- Optical Flow Reliability Model Approximated with RBF
- Introduction
- Material and Methods
- Optimizing the Dimensionality of the Input Database for the Function Approximation Task
- RBF Neural Network: Inner Architecture
- Rank Order Coding Technique
- Results
- Conclusions
- References
- Video and Image Processing with Self-Organizing Neural Networks
- Introduction
- Topology Learning
- Growing Neural Gas
- Examples
- Landmarks Extraction and Contours Representation
- Image Compression and Hand Gesture Recognition
- Surveillance Systems
- 3D Data Reconstruction
- Conclusions
- References
- Hybrid Artificial Neural Networks: Models, Algorithms and Data
- Parallelism in Binary Hopfield Networks
- Introduction
- Theoretical Results
- Degree of Parallelism in the Traveling Salesman Problem
- Conclusions
- References
- Multi-parametric Gaussian Kernel Function Optimization for e-SVMr Using a Genetic Algorithm
- Introduction
- e-SVM Formulation for the SVMr
- Extension to Multi-parametric Gaussian Kernels
- Optimization of the Multi-parametric Gaussian Kernel Function Proposed
- Experimental Part
- Data Sets
- Simulation Methodology
- Results
- Conclusions
- References
- Face Recognition System in a Dynamical Environment
- Introduction
- Theoretical Background
- Face Recognition System: An Example
- Face Recognition System in a Dynamical Environment
- Experimental Results
- Conclusion
- References
- Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation
- Introduction
- Dataset Description
- Methods
- Accuracy and Minimum Sensitivity in Classification Problems
- Pareto Differential Evolution Algorithm
- Automatic Selection Method Used in the Experimentation
- Experimental Study
- Results
- Conclusions
- References
- Studying the Hybridization of Artificial Neural Networks in HECIC
- Introduction
- HECIC: Hybridizing Ensemble Classifiers with Individual Classifiers
- Multiple Classifier Systems
- Two Layered System
- Experimental Results
- Conclusion
- References
- Processing Acyclic Data Structures Using Modified Self-Organizing Maps
- Introduction
- Motivation - Prerequisites in Study Programs
- Acyclic Data Structures
- Modification of Self-Organizing Neural Networks
- Encoding of Data Structures and the Training of the Neural Network
- Encoding of Training Structures
- Training of the Neural Network
- Encoding of Queries
- Results in the Application
- Conclusion
- References
- On the Performance of the µ-GA Extreme Learning Machines in Regression Problems
- Introduction
- Extreme Learning Machines
- The ELM Algorithm
- The Evolutionary ELM
- The -GA ELM
- Experimental Part
- Experiments in Synthetic Functions
- Experiments in Public Repositories
- Conclusions
- References
- A Hybrid Evolutionary Approach to Obtain Better Quality Classifiers
- Introduction
- $C$ vs. $S2$
- Differential Evolution and Extreme Learning Machine Algorithm
- Extreme Learning Machine (ELM)
- Differential Evolution Algorithm
- Experiments
- Conclusions
- References
- Neural Network Ensembles with Missing Data Processing and Data Fusion Capacities: Applications in Medicine and in the Environment
- Introduction
- Ensemble Systems
- New Neural Network Ensembles
- Decision Tree Based Switching Ensemble (DTBSE)
- Simple and Weighted Majority Voting Ensembles (SMVE / WMVE)
- Gating Neural Ensemble (GaNEn)
- Applications
- Conclusions
- References
- Hybrid Artificial Neural Networks: Models, Algorithms and Data
- Introduction
- Models
- Algorithms
- Data
- Conclusions
- References
- Advances in Machine Learning for Bioinformatics and Computational Biomedicine
- Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier
- Introduction
- Activity Recognition Method
- Hierarchical Weighted Classifier (HWC)
- Results
- Conclusions
- References
- Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network
- Introduction
- Methods and Datasets
- Multi-Layer Perceptron Neural Network for Predicting Pathway Sharing
- Gold Standard (GS)
- Features and Scoring
- Experimental Results and Analysis
- Neural Network Topology and Cross Validation of the Integration Results
- Results
- Conclusion and Future Work
- References
- Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems
- Introduction
- Materials and Methods
- Materials
- Methods
- Experiments and Results
- Conclusions and Further Work
- References
- Model Selection with PLANN-CR-ARD
- Introduction
- Compensation Mechanism
- Model Convergence
- Model Selection with PLANN-CR-ARD
- Conclusions
- References
- Biometric Systems for Human-Machine Interaction
- Gender Recognition Using PCA and DCT of Face Images
- Introduction
- General Gender Recognition
- Feature Extractors
- PCA and Eigenfaces
- Discrete Cosine Transform
- Database
- Results of PCA and DCT
- PCA with Genetic Algorithm
- Conclusion
- References
- Efficient Face Recognition Fusing Dynamic Morphological Quotient Image with Local Binary Pattern
- Introduction
- Illumination Normalization
- Reflection Model
- Dynamic Morphological Quotient Image (DMQI)
- Feature Extraction Using Local Binary Pattern (LBP)
- Fusing DMQI with LBP
- Experimental Results
- Conclusion
- References
- A Growing Neural Gas Algorithm with Applications in Hand Modelling and Tracking
- Introduction
- Characterising 2D Objects Using GNG
- Adaptive Learning
- Experiments
- Conclusions and Future Work
- References
- Object Representation with Self-Organising Networks
- Introduction
- Point Correspondence
- Review of Growing Neural Gas (GNG) Algorithm
- Examples
- Ventricles
- Hands
- Conclusions and Future Work
- References
- Data Mining in Biomedicine
- SNP-Schizo: A Web Tool for Schizophrenia SNP Sequence Classification
- Introduction
- Materials and Methods
- Schizophrenia Data
- LNN Model
- Single Nucleotide Polymorphism Schizophrenia Processing (SNP-Schizo)
- Results and Discussion
- Conclusions
- References
- MicroRNA Microarray Data Analysis in Colon Cancer: Effects of Normalization
- Introduction
- Colon Cancer MicroRNA Microarrays Data Analysis
- Study of Normalization Algorithms for miRNA Microarrays
- Effect of Different Normalization Strategies on Comparison between Normal and Colorectal Cancer miRNA Expression
- Conclusions
- References
- Automatic Handling of Tissue Microarray Cores in High-Dimensional Microscopy Images
- Introduction
- Methods
- Detection
- Tissue Core Selection
- Tissue Core Extraction
- Tissue Core Archiving
- Results
- Conclusions
- References
- Visual Mining of Epidemic Networks
- Introduction
- Cuban HIV/AIDS Database
- Data Collection
- Macroscopic Analysis
- Visual Mining
- Methodology
- Results
- Conclusion
- References
- Bio-inspired Combinatorial Optimization
- Towards User-Centric Memetic Algorithms: Experiences with the TSP
- Introduction
- A User-Centric Approach to Memetic Algorithms
- Rationale
- Implementation and Management of User Input: The TSP Case
- Experiments
- Conclusions
- References
- A Multi-objective Approach for the 2D Guillotine Cutting Stock Problem
- Introduction
- Multi-objective Approach
- Representation
- Evaluation of the Objectives
- Operators
- Computational Results
- Conclusions
- References
- Ant Colony Optimization for Water Distribution Network Design: A Comparative Study
- Introduction
- Problem Description and Related Work
- Description of the ACO Implementation
- Empirical Analysis: Results and Discussion
- Conclusions
- References
- A Preliminary Analysis and Simulation of Load Balancing Techniques Applied to Parallel Genetic Programming
- Introduction
- Parallel Genetic Programming and Load Balancing
- Methodology
- Simulation and Results
- Analysis of Different Load-Balancing Policies
- Analyzing Task Ordering and Submission
- Applying Ordering
- Conclusions
- References
- A Study of Parallel Approaches in MOACOs for Solving the Bicriteria TSP
- Introduction
- Parallel Approaches
- MOACOS to Study
- Experiments and Results
- Conclusions and Future Work
- References
- Optimizing Strategy Parameters in a Game Bot
- Introduction and Problem Description
- State of the Art
- GeneBot: The Galactic Conqueror
- Experiments and Results
- Conclusions and Future Work
- References
- Implementation Matters: Programming Best Practices for Evolutionary Algorithms
- Introduction
- State of the Art
- Methodology, Experiments and Results
- Conclusions and Future Work
- References
- Online vs. Offline ANOVA Use on Evolutionary Algorithms
- Introduction
- Offline ANOVA
- Online ANOVA
- Experimental Results
- Conclusion and Future Work
- References
- Bio-inspired Combinatorial Optimization: Notes on Reactive and Proactive Interaction
- Introduction
- Interactive Evolutionary Computation
- Design Principles for Effective IEAs
- IEC Limitations: The Fatigue of the Human User
- Conclusions
- References
- Applying Evolutionary Computation and Nature-inspired Algorithms to Formal Methods
- A Preliminary General Testing Method Based on Genetic Algorithms
- Introduction
- General Testing Model
- General Testing Methodology
- Conclusions and Future Work
- References
- Tackling the Static RWA Problem by Using a Multiobjective Artificial Bee Colony Algorithm
- Introduction
- Static RWA Problem
- Multiobjective Artificial Bee Colony Algorithm
- Experimental Results
- Comparison with Other Authors
- Conclusions and Future Work
- References
- Applying a Multiobjective Gravitational Search Algorithm (MO-GSA) to Discover Motifs
- Introduction
- The Motif Discovery Problem
- The Multiobjective Gravitational Search Algorithm
- Experimental Results
- Comparisons with Other Author Approaches
- Conclusions
- References
- Looking for a Cheaper ROSA
- Introduction
- The Markovian Process Algebra ROSA
- A Basic Genetic Algorithm
- Towards a Cheaper ROSA
- Conclusions and Future Work
- References
- A Parallel Skeleton for Genetic Algorithms
- Introduction
- Introduction to Eden
- Generic Genetic Algorithms in Haskell
- Parallel Skeleton in Eden
- Improved Skeleton
- Conclusions and Future Work
- References
- A Case Study on the Use of Genetic Algorithms to Generate Test Cases for Temporal Systems
- Introduction
- Preliminaries
- Case Study
- Conclusions and Future Work
- References
- Experimental Comparison of Different Techniques to Generate Adaptive Sequences
- Introduction
- Description of Our GA
- Experimental Comparison
- Description of the Experimentation
- Comparison between GAs
- Results of the Main Techniques
- Conclusions and Future Work
- References
- Recent Advances on Fuzzy Logic and Soft Computing Applications
- An Efficient Algorithm for Reasoning about Fuzzy Functional Dependencies
- Introduction
- Preliminaries
- Removing Redundant Information
- Automated Prover
- Soundnessblack, Completeness and Complexity
- Conclusions
- References
- A Sound Semantics for a Similarity-Based Logic Programming Language
- Introduction
- Preliminaries
- Declarative Semantics
- Operational Semantics
- Soundness of WSLD-Resolution
- Conclusions and Future Work
- References
- A Static Preprocess for Improving Fuzzy Thresholded Tabulation
- Introduction
- The Fuzzy Thresholded Tabulation Procedure
- Improvements Based on Static Preprocess
- Conclusions and Future Work
- References
- Non-deterministic Algebraic Structures for Soft Computing
- Hyperstructures, Multistructures and nd-structures
- Multilattices: Algebraically and Coalgebraically
- Congruences, Homomorphisms and Ideals on Non-deterministic Structures
- Crisp Approaches
- Fuzzy Approaches
- Conclusions
- References
- Fuzzy Computed Answers Collecting Proof Information
- Introduction
- Multi-adjoint Logic Programs
- The FLOPER System
- Fuzzy Computed Answers with Extended Information
- Conclusions and Future Work
- References
- Implication Triples versus Adjoint Triples
- Introduction
- Adjoint Triples and Applications
- Multi-adjoint Logic Programing
- Multi-adjoint Concept Lattices
- Properties of Adjoint Triples to Be Related to Implication Triples
- Conclusions and Future Work
- References
- Confidence-Based Reasoning with Local Temporal Formal Contexts
- Introduction
- Formal Concept Analysis
- Data and Temporal Contexts
- Temporal Contexts for Soccer League
- Confidence-Based Reasoning System
- Experiments
- Concluding Remarks and Future Work
- References
- New Advances in Theory and Applications of ICA-Based Algorithms
- Application of Independent Component Analysis for Evaluation of Ashlar Masonry Walls
- Introduction
- Statement of the ICA Problem
- Performance Analysis of Background Estimation Methods
- Results and Discussion
- Analysis of the Homogeneous Wall (Background Component)
- Analysis of the Wall with Imperfections (Backscattered Components)
- Conclusion
- References
- Fast Independent Component Analysis Using a New Property
- Introduction
- Preprocessing
- Proposed Approach
- Experiments
- Conclusions
- References
- Using Particle Swarm Optimization for MinimizingMutual Information in Independent Component Analysis
- Independent Component Analysis
- Contrast Functions in ICA Based on Mutual Information
- Particle Swarm Optimization
- ICA Contrasts and PSO
- Results and Discussion
- References
- Regularized Active Set Least Squares Algorithm for Nonnegative Matrix Factorization in Application to Raman Spectra Separation
- Introduction
- NMF for Raman Spectra Recovering
- NNLS Algorithms
- Experiments
- Conclusions
- References
- A Decision-Aided Strategy for Enhancing Transmissions in Wireless OSTBC-Based Systems
- Introduction
- Alamouti Coding Systems
- Pilot Symbols Elimination
- Reduction of the Computational Load
- Simulation Results
- Determination of the Threshold for the Simulations
- Algorithm Performance Comparison
- Conclusions
- References
- Nonlinear Prediction Based on Independent Component Analysis Mixture Modelling
- Introduction
- Independent Component Analysis Mixture Modelling
- ICAMM-Based Nonlinear Predictor
- Results
- Conclusion
- References
- Biological and Bio-inspired Dynamical Systems
- Robustness of the "Hopfield Estimator" for Identification of Dynamical Systems
- Introduction
- Continuous Hopfield Networks for Parameter Estimation
- Empirical Results on the Estimator Robustness
- Experimental Setting
- Experimental Results
- Conclusions and Future Directions
- References
- Modeling Detection of HIV in Cuba
- Introduction
- The Model
- Conclusions
- Application to the Cuban HIV/AIDS Data
- References
- Flexible Entrainment in a Bio-inspired Modular Oscillator for Modular Robot Locomotion
- Introduction
- Entrainment between a Simulated Servo and the Bio-Inspired Modular Oscillator
- Multiple Time Scales Neuron Model
- Kinetic Synapse Model for Inter-neuron Communication
- Translating from Neural Code to Motor Actuator Commands: Motoneurons
- Results and Discussion
- References
- Dengue Model Described by Differential Inclusions
- Introduction
- Biological Assumptions
- The Model
- Approximating the Reachable Set of the Model
- Conclusions and Future Work
- References
- Simulating Building Blocks for Spikes Signals Processing
- Introduction
- Simulation FrameWork
- Building Blocks for SSP
- Synthetic Spikes Generator (RB-SSG)
- Spikes Integrate and Generate (SI&G)
- Spikes Hold&Fire (SH&F)
- Spikes Frequency Divider (SFD)
- Spikes Low-Pass Filter (SLPF)
- Conclusions
- References
- Description of a Fault Tolerance System Implemented in a Hardware Architecture with Self-adaptive Capabilities
- Introduction
- Description of the Architecture
- Fault Tolerance System (FTS)
- Conclusion and Future Work
- References
- Systems with Slope Restricted Nonlinearities and Neural Networks Dynamics
- Introduction. State of the Art
- The Basic (Liapunov Like) Results
- Applications to the Case of Neural Networks Dynamics
- Some Conclusions
- References
- Bio-inspired Systems. Several Equilibria. Qualitative Behavior
- Introduction
- The Theoretical Background: Notions and Basic Results
- Dynamical Neural Networks with Multiple Equilibria
- Cohen-Grossberg Competitive Networks
- K-Winners-Take-All - KWTA Neural Networks
- Hopfield-Type Neural Networks
- Dynamical Neural Networks Affected by Time-Delays
- Synchronization for RNN with Time-Delays
- RNN with Multiple Equilibria and Time-Delays
- Some Conclusions and Open Problems
- References
- Interactive and Cognitive Environments
- Biologically Inspired Path Execution Using SURF Flow in Robot Navigation
- Introduction
- Related Work
- Robot Navigation Control
- Feedback Control
- Vanishing Point
- SURF Flow
- Results and Discussion
- Conclusions and Future Work
- References
- Equilibrium-Driven Adaptive Behavior Design
- Introduction
- The Need Element
- Behavior Design Methodology
- Learning
- Conclusion
- References
- Gait Identification by Using Spectrum Analysis on State Space Reconstruction
- Introduction
- State Space Reconstruction
- Delay Coordinates
- Singular Spectrum Analysis
- Gait Identification Approach
- Experiments
- Results
- Discussion
- Conclusions
- References
- Aibo JukeBox - A Robot Dance Interactive Experience
- Introduction
- Background and Related Work
- The JukeBox System
- Application Architecture
- BPM Extraction
- Dancing Steps Database
- Stochastic Dance Control Algorithm
- Robot Communication Protocol
- GUI Design
- Auxiliary Modules
- Experiences with Users
- Conclusion and Future Work
- References
- International Workshop of Intelligent Systems for Context-Based Information Fusion (ISCIF'11)
- On Planning in Multi-agent Environment: Algorithm of Scene Reasoning from Incomplete Information
- Introduction
- STRIPS System
- Preparation of Data Necessary for Reasoning
- Ways of Obtaining the Top/Side Vector
- Reasoning Algorithm Used to Recognize the Scene
- Example
- Types of Uncertainty during Scene Recognition Process
- Conclusion
- References
- Research Opportunities in Contextualized Fusion Systems. The Harbor Surveillance Case
- Introduction
- The Maritime Scenario. Requirements and Research Needs
- Sensor Fusion for Maritime Surveillance
- The Harbor Scenario as a Highly Contextualized Case
- General Approach for Context-Based Adaptive Fusion System
- Research Areas in Harbor Scenario Applications
- Contextualized Sensor Fusion
- Situation Analysis
- Collective Behavior Analysis
- Conclusion
- References
- Multiagent-Based Middleware for the Agents' Behavior Simulation
- Introduction
- Middleware for Behavior Simulation
- Redefinition of FIPA Protocols
- Experimental Results and Conclusions
- References
- A Dynamic Context-Aware Architecture for Ambient Intelligence
- Introduction
- An Architecture for Context Management Subsystems
- Case Study: Path Guidance
- Related Work
- Conclusions and Future Work
- References
- Group Behavior Recognition in Context-Aware Systems
- Introduction
- Related Work
- Group Behavior Recognition in Context-Aware Systems
- General Description
- Problem Description
- A Structured Representation for the Group Behavior Recognition Issue
- Features Vector
- Geometrical Information
- Semantics Information
- Structure Information
- Conclusions
- References
- Context-Awareness at the Service of Sensor Fusion Systems: Inverting the Usual Scheme
- Introduction
- Sample Scenario
- Theoretical Analysis
- Knowledge about Environment and Context Representation
- Applying Context to Sensor Fusion
- Experiments on Navigation
- Navigation System Setup
- Obtained Results
- Conclusions
- References
- Improving a Telemonitoring System Based on Heterogeneous Sensor Networks
- Introduction
- Problem Description
- Telemonitoring System Description
- Experiments and Results
- Conclusions and Future Work
- References
- Supporting System for Detecting Pathologies
- Introduction
- CBR-CGH System
- Normalization and Segmentation
- Classification
- Clustering
- Knowledge Extraction
- Results and Conclusions
- References
- An Ontological Approach for Context-Aware Reminders in Assisted Living' Behavior Simulation
- Introduction
- Related Work
- Framework Architecture
- Methodology
- Ontological ADL Modeling
- Ontological Context Reasoning
- Experiments
- Discussion and Future Work
- References
- Author Index
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.