Neural Information Processing

Name: Neural Information Processing | 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part II
Brand: Springer
Price: 53.49 EUR
Availability: OnlineOnly

22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part II

Sabri Arik Tingwen Huang Weng Kin Lai Qingshan Liu(Editor)

Springer (Publisher)

Published on 21. November 2015

XVI, 666 pages

E-Book

PDF with digital watermarking

System requirements

978-3-319-26535-3 (ISBN)

€53.49incl. 7% vat

System requirements

for PDF with digital watermarking

E-Book Single Licence

Available for download

Description

More details

Other editions

Content

Intro
Preface
Organization
Contents - Part II
Motor Imagery Task Classification Using a Signal-Dependent Orthogonal Transform Based Feature Extraction
Abstract
1 Introduction
2 Methodology
2.1 Data Acquisition and Pre-processing
2.2 The LP-SVD Transform
2.3 LP-SVD-Based Feature Extraction
3 Experimental Results and Discussion
3.1 AR Model Selection
3.2 Feature Extraction Evaluation
4 Conclusion
References
Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM
1 Introduction
2 Preliminaries
2.1 One-Class SVM
2.2 AdaBoost
2.3 Data Partitioning Strategies
3 Proposed Approach
3.1 Basic Idea
3.2 Analysis of the Proposed Algorithm
4 Experiments
4.1 Experimental Setup
4.2 Effect of Noise Removing on Input Matrix
4.3 Simulation Results
5 Conclusions
References
Soil Property Prediction: An Extreme Learning Machine Approach
1 Introduction
2 Problem Definition
3 Proposed Method
3.1 Data Preprocessing
3.2 Prediction Using Extreme Learning Machine (ELM)
4 Results and Discussions
5 Related Work
6 Conclusion
References
Recent Advances in Improving the Memory Efficiency of the TRIBE MCL Algorithm
1 Introduction
2 Methods
3 Results and Discussion
4 Conclusions
References
Weighted ANN Input Layer for Adaptive Features Selection for Robust Fault Classification
Abstract
1 Introduction
2 Adaptive Features Selection Framework
3 Time Segmentation and Spectral Features
4 Artificial Neural Network Training and Weight Profile
5 Features Selection Using ANN
6 Bearing Fault Classifier
6.1 Experimental Setup
6.2 Feature Set
7 Conclusions
References
Neural Network with Evolutionary Algorithm for Packet Matching
1 Introduction
2 The Basic Idea of GNNPM
2.1 Set ANN Weights and Activation Functions
2.2 Pruning Redundant Neurons in the Hidden Layer
2.3 Fine-Tune ANN Structure
3 Algorithm Design
4 Experiments and Results
5 Conclusions
References
Trading Optimally Diversified Portfolios in Emerging Markets with Neuro-Particle Swarm Optimisation
Abstract
1 Introduction
2 Background
2.1 Trading in Emerging Markets
2.2 Multifactor Stock Selection Model
3 Data Set
4 Methods
4.1 Particle Swarm Optimisation
4.2 Fitness Measure and the Role of Mintrades
4.3 Training Methodology
5 Results
5.1 Trading with Mintrades = 30
5.2 Dependence of Test Profit on Mintrades Value
5.3 Learning Mintrades from Training/Validation Data
6 Discussion
References
Generalized Kernel Normalized Mixed-Norm Algorithm: Analysis and Simulations
1 Introduction
2 Kernel Normalized Mixed-Norm (KNMN) Algorithm
2.1 KNMN
2.2 KNMN with Adaptive Mixing Parameter (AMP) (k)
3 Generalized Kernel Normalized Mixed-Norm (GKNMN) Algorithm
3.1 GKNMN
3.2 Relation to Previous Works
4 Mean Square Convergence Analysis
5 Simulations and Results Analysis
6 Conclusion
References
A Parallel Sensitive Area Selection-Based Particle Swarm Optimization Algorithm for Fast Solving CNOP
Abstract
1 Introduction
2 Sensitive Area Selection-Based Particle Swarm Optimization Algorithm (SASPSO) for Fast Solving CNOP
2.1 CNOP
2.2 SASPSO Method
3 Experiments
3.1 Effectiveness Analysis of SaDC Strategy
3.2 Comparison Analysis
4 Conclusion and Future Work
References
Realization of Fault Tolerance for Spiking Neural Networks with Particle Swarm Optimization
1 Introduction
2 Spiking Neural Network
3 Fault Model and Objective Function
4 Particle Swarm Optimization
5 Simulation Results
6 Conclusion
References
Parallel Cooperative Co-evolution Based Particle Swarm Optimization Algorithm for Solving Conditiona ...
Abstract
1 Introduction
2 Background
2.1 CNOP
2.2 Zebiak-Cane (ZC) Model
2.3 Particle Swarm Optimization (PSO) and Tabu Search (TS)
3 PCCPSO: Parallel Cooperative Co-evolution Based Particle Swarm Optimization Algorithm
3.1 Improved Particle Swarm Optimization Algorithm with Tabu Search
3.2 CCPSO
3.3 PCCPSO
4 Experiments and Analysis
4.1 Parameter Selection
4.2 Comparison Analysis
4.3 Efficiency Analysis
5 Conclusion and Future Work
References
Discovery of Interesting Association Rules Using Genetic Algorithm with Adaptive Mutation
Abstract
1 Introduction
2 Preliminaries
3 Methods
3.1 Reinitialization and Adaptive Mutation Technique Within ARMGA
3.2 Objectives and Evolutionary Operators
3.3 Flowchart of the Algorithm
4 Experimental Results
5 Summary
Acknowledgements
References
Semi-supervised Non-negative Local Coordinate Factorization
1 Introduction
2 Semi-supervised Non-negative Local Coordinate Factorization
2.1 Optimization Algorithm
3 Experiments
3.1 UCI Datasets
3.2 Face Image Datasets
4 Conclusion
References
A Strength Pareto Evolutionary Algorithm for Live Migration of Multiple Interdependent Virtual Machines in Data Centers
1 Introduction
2 Problem Statement
3 The SPEA2
3.1 Chromosome Representation
3.2 Genetic Operators
3.3 Fitness Calculation
4 Evaluation
4.1 Simulation Setup
4.2 Experimental Results
5 Conclusion
References
A Survey of Applying Machine Learning Techniques for Credit Rating: Existing Models and Open Issues
Abstract
1 Introduction
2 Introduction of Two Most Commonly Used Data Sets
3 Existing Learning-Based Models for Credit Rating
3.1 Single Classifier Models
3.1.1 Decision Tree
3.1.2 Neural Networks
3.1.3 Support Vector Machine
3.1.4 Other Models
3.2 Hybrid Models
3.2.1 Hybrid Feature Selection Models
3.2.2 Ensemble Models
4 Performance Comparison on Different Models
4.1 Performance Comparison on Models with a Single Classifier
4.2 Performance Comparison on Hybrid Feature Selection Models
4.3 Performance Comparison on Ensemble Models
5 Limitations of Existing Researches and Open Issues
References
A New Evolutionary Algorithm for Extracting a Reduced Set of Interesting Association Rules
Abstract
1 Introduction
2 Preliminaries
3 Methods
3.1 Class Based Mutation and Best Population
3.2 Objectives and Genetic Operators
3.3 MBAREA Algorithm
4 Experimental Analysis
5 Conclusion
References
Non-negative Spectral Learning for Linear Sequential Systems
1 Introduction
2 Multiplicity Automata
2.1 Definition
2.2 Hankel Matrix Representation
2.3 Spectral Learning
3 Non-negative Spectral Learning
4 Numerical Experiments
5 Conclusion
References
Optimism in Active Learning with Gaussian Processes
1 Introduction
2 Gaussian Processes
3 Local Risk Minimization
4 Global Risk Minimization
5 Experiments
6 Results
7 Conclusion
References
A Penalty-Based Genetic Algorithm for the Migration Cost-Aware Virtual Machine Placement Problem in Cloud Data Centers
1 Background and Related Work
2 Problem Formulation
3 The GA for the VMPP
3.1 Chromosome Representation
3.2 Genetic Operators
3.3 Fitness Calculation
3.4 Our GA
4 Evaluation
4.1 Experimental Design
4.2 Experimental Results
5 Conclusion and Future Work
References
Frequency Decomposition Based Gene Clustering
1 Introduction
2 Background
2.1 Gene Interactions
2.2 Gene Expression Decomposition
3 Proposed Method
3.1 Gene Representative and Significant Frequencies
3.2 Cluster Formation
4 Results and Analysis
5 Conclusion
References
Using Genetic Algorithm in Profile-Based Assignment of Applications to Virtual Machines for Greener Data Centers
1 Introduction
2 Related Work
3 Problem Formulation
4 Penalty-Based Genetic Algorithm
5 Case Studies
6 Conclusion
References
EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons
Abstract
1 Introduction
2 Synaptic Weight and Delay Learning in EDL
3 Experimental Setup
4 Results and Discussion
5 Conclusion and Future Work
References
Enhanced Genetic Algorithm Applied for Global Optimization
Abstract
1 Introduction
2 Methodology
2.1 The Test Functions
2.2 Experimental Setup
3 Results and Discussion
4 Conclusion
References
A New Heuristic Based on the Cuckoo Search for Cryptanalysis of Substitution Ciphers
1 Introduction
1.1 Simple Substitution Cipher
1.2 Our Contributions
2 Cryptanalysis of Substitution Ciphers
2.1 Fitness Function or Cost
2.2 Cryptanalysis Using Genetic Algorithms
2.3 Cryptanalysis Using Cuckoo Search Combined with Lévy Flights
2.4 Cryptanalysis Using Tabu Search
3 Parameters, Experimental Setup and Results
4 Conclusion
References
Spectral Clustering Trough Topological Learning for Large Datasets
1 Introduction
2 Unsupervised Topological Learning
3 Proposed Method
4 Experimental Protocol
4.1 Data Sets
4.2 Experimental Results
5 Conclusions
References
A Recommendation System Based on Unsupervised Topological Learning
1 Introduction
2 Proposed Recommendation System
3 Unsupervised Topological Learning Approaches
3.1 Community Detection
3.2 Generative Topographic Mapping
3.3 Topological Co-Clustering
4 Experiments
4.1 Evaluation Criteria
4.2 Experimental Results
5 Conclusion
References
Online Training of an Opto-Electronic Reservoir Computer
1 Introduction
2 Basic Principles
2.1 Reservoir Computing
2.2 Channel Equalisation Task
2.3 Gradient Descent Algorithm
3 Experimental Setup
4 Results
5 Conclusion
References
Spike Train Pattern Discovery Using Interval Structure Alignment
1 Introduction
2 Related Work
3 Method
3.1 Interval Structure
3.2 Interval Structure Alignment Kernel
3.3 Pattern Retrieval and Multiple Alignment
4 Evaluation
4.1 Classification of Synthetic Data
4.2 Pattern Discovery from Synthetic Data
4.3 Pattern Discovery from Real Data
5 Conclusion
References
Distant Supervision for Relation Extraction via Group Selection
Abstract
1 Introduction
2 Related Work
3 MIML via Group Selection
3.1 MIML-Sort
3.2 Sorting by Group Labels
3.3 Sorting by Ranking
4 Experiment
4.1 Dataset
4.2 Experimental Setup
5 Conclusion
References
SpikeComp: An Evolving Spiking Neural Network with Adaptive Compact Structure for Pattern Classification
Abstract
1 Introduction
2 Learning and Structural Adaptation
2.1 Spiking Neural Model
2.2 Information Encoding
2.3 Network Topology
2.4 Learning and Structure Adaptation
3 Performance Evaluation of SpikeComp
4 Conclusion
References
Formation of Momentum and Learning Rate Profile for Online Training and Testing of HMLP with ALRPE
Abstract
1 Introduction
2 Theoretical Background
2.1 Hybrid Multilayered Perceptron Network (HMLP)
2.2 Modified Recursive Prediction Error Algorithm (MRPE)
2.3 Approach of Pedagogy in an Adaptive Learning Recursive Prediction Error Algorithm (ALRPE)
3 Results and Discussion
3.1 Modelling and Forecasting of Speed
3.2 Modelling and Forecasting of Revolution
3.3 Modelling and Forecasting of Heat Exchanger (Benchmark with Standard Data)
4 Conclusion
References
Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers
1 Introduction
2 Prototype Generation
3 Growing Neural Gas Networks for PG
4 Experiments
5 Conclusion
References
Orthogonal Extreme Learning Machine Based P300 Visual Event-Related BCI
Abstract
1 Introduction
2 Materials and Methods
2.1 Database Description
2.2 Preprocessing
3 Machine Learning and Classificat0131on
3.1 Multi-order Difference Plot (MoDP)
3.2 Extreme Learning Machine (ELM)
3.3 Orthogonalization
3.4 Iterative Neuron Number Optimization
4 Results
5 Conclusion
References
A Neural Network Based Approach for Semantic Service Annotation
Abstract
1 Introduction
2 Related Work
3 Semantic Service Annotation Problem
4 Neural Network Based Approach for Semantic Service Annotation
4.1 Service Classification
5 Extended Case-Based Reasoning Approach
6 Experiments and Results
6.1 Experimental Environment
6.2 Experimental Results
7 Conclusion
References
Neural Network-Aided Adaptive UKF for Integrated Underwater Navigation
Abstract
1 Introduction
2 Adaptive UKF for Neural Network Training
3 State Model and Measurement Model
4 Information Fusion Algorithm Based on Gravity Gradient and Geomagnetism Measurement Information
5 Experimental Results
6 Conclusions
References
A Stochastic Approximation Algorithm for Quantile Estimation
1 Introduction and Preliminaries
2 Our Proposed Algorithm
2.1 Algorithm 1
3 Proof of Convergence
3.1 Algorithm 2
4 Experimental Results
5 Conclusions
References
Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems
1 Introduction
2 Reinforcement Learning in Continuous Spaces
3 A Fuzzy Logic System for Learning
4 Natural Fuzzy-XCS
4.1 The Reinforcement Component
4.2 The Discovery Component
4.3 The Policy Parameter Learning Component
5 Experimental Results
5.1 Experiments on the Frog Problem
5.2 Experiments on the Cart-Pole Problem
6 Conclusions
References
A Malware Classification Method Based on Generic Malware Information
1 Introduction
2 Related Work
3 Proposed Method
3.1 Overall Architecture
3.2 Design of the Architecture
4 Evaluation
4.1 Experimental Environment
4.2 Experimental Results
5 Conclusion
References
Secure Multi-party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data
1 Introduction
2 Related Works
3 Preliminaries
3.1 Extreme Learning Machine
3.2 Secure Multi Party Computation
4 Privacy-Preserving ELM Over Vertically Partitioned Data
5 Experiments
6 Conclusion and Future Works
References
A Hybrid Model of Fuzzy ARTMAP and the Genetic Algorithm for Data Classification
1 Introduction
2 Related Works
3 Optimization Methodology
3.1 Fuzzy ARTMAP
3.2 FAM Optimization Using Genetic Algorithms
4 Experimental Results
5 Conclusions
References
Is DeCAF Good Enough for Accurate Image Classification?
1 Introduction
2 Related Work
3 The Proposed Model
4 Experiments
4.1 Results on the Caltech101 Data Set
4.2 Results on the Caltech-UCSD Birds Data Set
4.3 Results on the STL10 Data Set
4.4 Discussion
5 Conclusion
References
Optimal Feature Subset Selection for Neuron Spike Sorting Using the Genetic Algorithm
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 WaveClus
3.2 The Genetic Algorithm
4 The Proposed Method
4.1 Fitness Computation
4.2 Algorithm
5 Results and Discussion
6 Conclusions
References
Continuous Summarization for Microblog Streams Based on Clustering
Abstract
1 Introduction
2 Related Works
3 Preliminary
4 The Continuous Summarization by Clustering Stream Model
4.1 Microblog Stream Clustering
4.2 The CLR & Summ Model
5 Experiments
5.1 Illustrative Example
5.2 Experimental Results
6 Conclusion
References
Versatile English Learning System Using Webpages as Learning Materials
Abstract
1 Introduction
2 Requirements and System Outline
3 System Configuration and Procedures
4 Implementation Methods
4.1 Obtaining the Webpage URL
4.2 Generating English-Japanese Word Dictionary
4.3 Displaying Words in a Webpage
4.4 Displaying Translated Japanese Page
4.5 Speaking
4.6 Listening
5 Related Systems and Research
6 Conclusion
References
A Fast Algorithm for Local Rank Distance: Application to Arabic Native Language Identification
1 Introduction
2 Related Work
3 Efficient Local Rank Distance Algorithm
4 Arabic Native Language Identification
4.1 Data Set
4.2 Learning Method
4.3 Parameter Tuning for LRD Kernel
4.4 Results and Discussion
4.5 Time Evaluation
5 Conclusion and Further Work
References
Human Perception-Based Washout Filtering Using Genetic Algorithm
Abstract
1 Introduction
2 Classical Washout Filter
3 Human Vestibular System
4 Proposed Linear Motion Cueing Algorithm Based on GA
4.1 Genetic Algorithm Based Washout Filter Tuning
5 Results and Discussion
6 Conclusion
References
Conjugate Gradient Algorithms for Complex-Valued Neural Networks
1 Introduction
2 Conjugate Gradient Algorithms
3 Experimental Results
3.1 Fully Complex Synthetic Function
3.2 Split Complex Synthetic Function
3.3 Nonlinear Time Series Prediction
4 Conclusions
References
XaIBO: An Extension of aIB for Trajectory Clustering with Outlier
1 Introduction
2 Related Work
3 Method
3.1 Trajectory Clustering Based on aIB
3.2 Filtering Criterion
4 Experiments
5 Conclusion
References
A Model of Motor Impairment After Stroke for Predicting Muscle Activation Patterns
Abstract
1 Introduction
2 Methods
2.1 Simulation Model
2.2 Optimization of the Neural Network Model
2.3 Motor Impairment After a Stroke
3 Results
3.1 Optimization Process
3.2 Effects of Motor Impairment
3.3 Recovery Process
4 Conclusions
References
Cost Reduction in Thyroid Diagnosis: A Hybrid Model with SOM and C4.5 Decision Trees
1 Introduction
2 Materials and Methods
2.1 Materials
2.2 Methods
3 Results
4 Conclusion
References
Webcam Based Real-Time Robust Optical Mark Recognition
1 Introduction
2 Methods
2.1 Adaptive Binarization
2.2 Mark Detection
3 Implementation
3.1 User-Designed OMR Forms
4 Experimental Results
5 Conclusion
References
Webcam-Based Visual Gaze Estimation Under Desktop Environment
1 Introduction
2 Eye Feature Vector Extraction
2.1 Eye Inner Corner Detection
2.2 Iris Center Localization
3 Calibration and Eye Gaze Estimation
3.1 Joint Calibration with Binocular Feature Vectors
3.2 Eye Gaze Estimation
4 Experiments
4.1 Visual Gaze Estimation to Artificial Targets
4.2 Visual Gaze Estimation to Webpages
5 Conclusion
References
Influence of Previous Choice and Outcome in a Two-Alternative Decision-Making Task
Abstract
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
References
Using Modern Neural Networks to Predict the Decisions of Supreme Court of the United States with State-of-the-Art Accuracy
1 Introduction
2 Related Works
3 Initial Dataset
4 Prediction Using Deep Neural Networks
5 Results
5.1 Contribution of Each of the Features Towards the Accuracy of Our Model
5.2 Graphs Depicting Classification Error Rate and Accuracy for Models
5.3 Accuracy of Various Models and Comparisons
6 Conclusion
References
Analysis of Mixed-Rule Cellular Automata Based on Simple Feature Quantities
1 Introduction
2 Cellular Automata with Mixed Rules
3 Digital Return Map and Feature Quantities
4 Numerical Experiments
5 Conclusions
References
Depth Map Upsampler Using Common Edge Detection
1 Introduction
2 Proposed Depth Map Upsampler
2.1 Depth Upsampler
2.2 Common Edge Detection
2.3 Cost Calculation
3 Experimental Results
4 Conclusions
References
Application of Mathematical Morphology in Diesel Vibration Signals
Abstract
1 Introduction
2 Basic Principle of Mathematical Morphology Filter
3 Choice of Structural Elements
3.1 Shape of Structural Elements
3.2 Width of Structural Elements
3.3 Height of Structural Elements
4 Design of Generalized Morphological Filter
5 Conclusion
References
On the Discovery of Time Distance Constrained Temporal Association Rules
1 Introduction
2 Related Work
3 Cause-Effect Rules
4 CER 1.0 ALGORITHM
4.1 Transformation Phase
4.2 Initialization Phase
4.3 Discovery Phase
5 Experiments
5.1 Results Before a LWBS Visit
5.2 Results Before a Hospital Admission via ED
5.3 Discussion
6 Conclusion
References
Software Clone Detection Using Clustering Approach
1 Introduction
2 Related Work
3 Proposed Method
3.1 Feature Extraction
3.2 Clustering of Dataset
3.3 Function Clone Identification
4 Results and Discussion
4.1 Dataset Preparation
4.2 Results
5 Conclusion and Future Work
References
Bilingual Lexicon Extraction with Forced Correlation from Comparable Corpora
1 Introduction
2 Background: Linear Transformation for BLE
3 Forced Correlation with CCA
4 Experiment and Results
4.1 Experimental Settings
4.2 Results
5 Related Works
6 Conclusions
References
Enhancing the Mongolian Historical Document Recognition System with Multiple Knowledge-Based Strategies
1 Introduction
2 Mongolian Historical Document Recognition System
3 Multiple Knowledge-based Strategies Integration
3.1 Recognizing the Under-Segmented and Over-segmented Fragments
3.2 Glyph-unit Grouping
3.3 Incorporating the Baseline Information
4 Experiment
4.1 Experiment Setting
4.2 Result and Analysis
5 Conclusion
References
Empirical Analysis of Sampling Based Estimators for Evaluating RBMs
1 Introduction
2 Restricted Boltzmann Machines
3 Sampling Based Estimators for Evaluating RBMs
3.1 Annealed Importance Sampling for Estimating Partition Function
3.2 Conservative Sampling Based Log-likelihood Estimator
3.3 Reverse AIS Estimator
4 Experimental Results and Discussions
5 Conclusion
References
Autonomous Depth Perception of Humanoid Robot Using Binocular Vision System Through Sensorimotor Int ...
Abstract
1 Introduction
2 Proposed Method
2.1 Experimental Setting of Robot
2.2 Visual Attention Saliency Map
2.3 Object Size Invariance (OSI)
2.4 Binocular Depth Estimation Algorithm
2.5 Sensory Invariant Driven Action (SIDA)
3 Learning Framework
4 Experimental Results
5 Conclusion and Further Work
References
An Effective Resolution Method of Chinese Multi-category Words with Conditional Random Field in Elec ...
Abstract
1 Introduction
2 Conditional Random Field and Recognition of Chinese Multi-category Words in Electronic Commerce
2.1 Conditional Random Field
2.2 Optimization of Parameter Estimation
2.3 The Recognition of Chinese Multi-category Words in Electronic Commerce
3 Experiment Results and Analysis
4 Conclusion
References
A Novel Hybrid Modelling for Aggregate Production Planning in a Reconfigurable Assembly Unit for Opt ...
Abstract
1 Introduction
2 Typical Shop Floor
3 RRAU Integration in a Pre-existing Shop-Floor
4 The Management Integration Framework for a RRAU
5 Problem Formulation
5.1 Indices
5.2 Decision Variables
5.3 Parameters
5.4 Objective Functions
5.5 Constraints
6 Model Development
6.1 FMOLP Solving Method
6.2 The Multi-objective Linear Programming Associated- Results and Comments
7 Conclusions
References
Design of Distributed Adaptive Neural Traffic Signal Timing Controller by Cuckoo Search Optimization
1 Introduction
2 Neural Network in Traffic Signal Controllers
3 Introducing the Testbed and Conditions
4 Proposed Neural Traffic Signal Timing Controller
4.1 Cuckoo Search Optimization Algorithm via Lévy Flight
4.2 Design of CS-NN Controller
5 Experiments Results and Discussion
6 Conclusion
References
A Causal Model Using Self-Organizing Maps
1 Introduction
2 Background
2.1 Causal Analysis
2.2 Methods for Causal Analysis
3 Self-Organizing Map Network for Causal Analysis
3.1 SOM Tree (SOMT)
3.2 Modeling Causality by Networking SOMs
3.3 A Weighting Scheme for Conditional Similarity Distribution
4 Experiment and Discussion
4.1 Processes for Causal Modeling and Reasoning
4.2 Results and Discussion
5 Conclusion
References
In-Attention State Monitoring Based on Integrated Analysis of Driver's Headpose and External Environment
Abstract
1 Introduction
2 Integration System of Internal and External Information
2.1 Construction of External Traffic Information Distribution Map
2.2 Construction of Driver's Attention Area Distribution Map
2.3 Integration of Internal and External Information
3 Experiment and Result
4 Conclusion
References
Item Category Aware Conditional Restricted Boltzmann Machine Based Recommendation
1 Introduction
2 Related Work
3 IC-CRBMF model
3.1 RBM and Conditional RBM Model
3.2 IC-CRBMF_UserBased and IC-CRBMF_ItemBased
3.3 Modelling and Model Learning
3.4 Rating Prediction
4 Experimental Study
4.1 DataSet and Evaluation Metrics
4.2 Experimental Results and Discussion
5 Conclusion and Future Work
References
Figure-Ground Segregation by a Population of V4 Cells
Abstract
1 Introduction
2 Methods
3 Single Cell Responses to Natural Images
4 Discrimination of FG from a Group of Cellular Responses
5 Conclusion and Discussion
References
Weighted Probabilistic Opinion Pooling Based on Cross-Entropy
1 Introduction
2 Opinion Pooling of Discrete Probability Distributions Based on Cross-Entropy
3 Cross-Entropy Based Opinion Pooling Influenced by Preferences Among Sources
4 Illustrative Example
5 Conclusion and Future Work
References
Tailgating Enforcement based on Back-Tracking in Intersection
Abstract
1 Introduction
2 The Back-tracking to Enforce the Tailgating
2.1 The Analysis of the Tailgating Violation
2.2 The Back-tracking Method
2.3 The Mapping Method between Each Coordinate Values of Narrow-view Image and Wide-View Image
2.4 The Stack Structure for the Back-tracking
3 Experiments: Back-tracking and Sequential Tracking
4 Conclusion
References
Virtual Reality Based GIS Analysis Platform
1 Introduction
2 System Information Process
2.1 Three-Dimensional Superficial Analytical Module
2.2 Three-Dimensional Statistical Analysis Module
2.3 Three-Dimensional Network Analysis Module
3 Analysis on Spatial Trend Surface
4 Conclusion
References
Hierarchical Nearest Neighbor Graphs for Building Perceptual Hierarchies
1 Introduction
2 View-Based Perceptual Hierarchy
3 Hierarchical Nearest Neighbor Graphs
4 Incremental Construction
5 Experimental Results
6 Conclusions
References
Author Index

System requirements

Save as PDF Copy link into clipboard

Schweitzer Fachinformationen

Neural Information Processing

Description

More details

Other editions

Additional editions

Content

System requirements