Advances in Computational Intelligence

Name: Advances in Computational Intelligence | 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II
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11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II

Joan Cabestany Ignacio Rojas Gonzalo Joya(Editor)

Springer (Publisher)

Published on 30. May 2011

XXXVII, 690 pages

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978-3-642-21498-1 (ISBN)

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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
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Advances in Computational Intelligence

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