Neural Information Processing

Name: Neural Information Processing | 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings Part III
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22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings Part III

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

Springer (Publisher)

Published on 8. December 2015

XVII, 710 pages

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978-3-319-26555-1 (ISBN)

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Content

Intro
Preface
Organization
Contents - Part III
Design of an Adaptive Support Vector Regressor Controller for a Spherical Tank System
1 Introduction
2 Adaptive Online SVR Controller
3 Online -SVR for Controller Design
4 Simulation Results
5 Conclusion
References
Robust Tracking Control of Uncertain Nonlinear Systems Using Adaptive Dynamic Programming
1 Introduction
2 Preliminaries
3 Problem Transformation
4 Approximate the HJB Solution via ADP
5 Simulation Results
6 Conclusions
References
Moving Target Tracking Based on Pulse Coupled Neural Network and Optical Flow
Abstract
1 Introduction
2 Related Work
2.1 Optical Flow
2.2 Pulse-Coupled Neural Network
2.3 PCNN Fusion Based on Optical Flow
2.4 Topological Property
3 Algorithm Structure
4 Experimental Results
4.1 Database
4.2 Attention Detection Effects
4.3 Comparison of Attention Detection Models
5 Conclusion
References
Efficient Motor Babbling Using Variance Predictions from a Recurrent Neural Network
1 Introduction
2 Exploratory Motor Babbling
2.1 Stochastic Continuous Time-Scales Recurrent Neural Networks
2.2 Learning Process of Exploratory Motor Babbling
3 Experimental Setup
3.1 Robot Model in Simulation
3.2 Design of Motor Babbling
3.3 Experimental Evaluation
4 Experimental Results and Discussion
5 Conclusion
References
Distributed Control for Nonlinear Time-Delayed Multi-Agent Systems with Connectivity Preservation Using Neural Networks
1 Introduction
2 Preliminaries
2.1 Graph Theory
2.2 Radial Basis Function Neural Network
2.3 Problem Statement
3 Distributed Control for Nonlinear Time-Delayed Multi-Agent Systems
4 Simulation Example
5 Conclusion
References
Coevolutionary Recurrent Neural Networks for Prediction of Rapid Intensification in Wind Intensity of Tropical Cyclones in the South Pacific Region
1 Introduction
2 Coevolutionary Recurrent Networks for Rapid Intensification
2.1 Recurrent Network Architecture
2.2 Cooperative Neuro-Evolutionary Recurrent Networks
2.3 Application Problem: Rapid intensification in Cyclones
3 Experiments and Results
3.1 Analysis of the Dataset
3.2 Data Pre-processing
3.3 Results
3.4 Discussion
4 Conclusions and Future Work
References
Nonlinear Filtering Based on a Network with Gaussian Kernel Functions
1 Introduction
2 Nonlinear Filters for Signal Enhancement
3 Phase Space Analysis of Noisy Signals
4 Nonlinear Filters with Gaussian Kernel Functions
5 Simulation
6 Conclusion
References
Computing Skyline Probabilities on Uncertain Time Series
Abstract
1 Introduction
2 Related Work
3 Background of Skyline Queries
3.1 Skylines on Certain Time Series
3.2 Skylines on Uncertain Time Series
4 Probabilistic Skyline Answering Algorithm
4.1 Obtaining the Skyline
4.2 Computing the Skyline Probability
5 Experiment Study
6 Conclusions
References
Probabilistic Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizons for Obtaining Plausible Predictions
1 Introduction
2 Probabilistic Prediction of Chaotic Time Series
2.1 Point Prediction of Chaotic Time Series
2.2 Probabilistic Prediction
3 Numerical Experiments and Analysis
3.1 Experimental Settings
3.2 Results and Analysis
4 Conclusion
A CAN2
References
Adaptive Threshold for Anomaly Detection Using Time Series Segmentation
1 Introduction
2 Segmentation and Anomaly Detection
3 Adaptive Threshold for Anomaly Detection (ATAD)
3.1 Adaptive Piecewise Constant Approximation
3.2 Description of the Method
3.3 Numerical Experiments
4 Conclusion and Future Works
References
Neuron-Synapse Level Problem Decomposition Method for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction
1 Introduction
2 Neuron-Synapse Level Problem Decomposition
3 Experiments, Results and Discussion
3.1 Experimental Setup
3.2 Results
3.3 Discussion
4 Conclusions
References
Prediction Interval-Based Control of Nonlinear Systems Using Neural Networks
1 Introduction
2 PI-based Controller
3 Proposed Methodology
3.1 Feed-Forward NN Model
3.2 PI-based NN Model
3.3 PI-based NN Inverse Model (PIC)
4 Case Studies
5 Results and Discussion
6 Conclusion
References
Correcting a Class of Complete Selection Bias with External Data Based on Importance Weight Estimation
1 Introduction
2 Bias Correction
3 Experiments
3.1 Toy Problem
3.2 Real-World Data Sets
4 Discussion and Conclusion
References
Lagrange Programming Neural Network for the l1-norm Constrained Quadratic Minimization
1 Introduction
2 Background
3 LPNN for L1CQM
4 Properties of LPNN
5 Simulations
6 Conclusion
References
Multi-Island Competitive Cooperative Coevolution for Real Parameter Global Optimization
1 Introduction
2 Multi-Island Competitive Cooperative Coevolution
2.1 Initialization
2.2 Cooperative Coevolution
2.3 Competition
2.4 Collaboration - Solution Migration
3 Simulation and Analysis
3.1 Benchmark Problems and Configuration
3.2 Results and Analysis
3.3 Discussion
4 Conclusions and Future Work
References
Competitive Island-Based Cooperative Coevolution for Efficient Optimization of Large-Scale Fully-Separable Continuous Functions
1 Introduction
2 Competitive Island Cooperative Coevolution for Fully-Separable Continuous Functions
2.1 Initialization
2.2 Coevolution in CICC
2.3 Competition and Collaboration
3 Simulation and Analysis
3.1 Problem Decomposition Strategies
3.2 Benchmark Problems and Parameter Settings
4 Results and Analyses
4.1 Competition Between Same Problem Decomposition Strategies
4.2 Competition Between Different Problem Decomposition Strategies
5 Conclusions and Future Work
References
Topic Optimization Method Based on Pointwise Mutual Information
Abstract
1 Introduction
2 LDA Based on Point-Wise Mutual Information (PMI-LDA)
2.1 Introduction of the LDA Topic Model
2.2 PMI-LDA Topic Model
3 Topic Evaluation
4 Experiments
5 Conclusion
Acknowledgments
References
Optimization and Analysis of Parallel Back Propagation Neural Network on GPU Using CUDA
Abstract
1 Introduction
2 Parallel Back Propagation Algorithm on GPU
3 Optimized Program Framework on GPU
4 Experimental Results and Discussion
4.1 Data Sets for Experiments
4.2 Results of Experiments
4.3 Discussion
5 Conclusions
References
Objective Function of ICA with Smooth Estimation of Kurtosis
1 Introduction
2 Derivation of Objective Function of ICA
2.1 Preliminaries
2.2 Estimation of True Distribution
2.3 Objective Function
3 Optimization Method
4 Results
5 Conclusion
References
FANet: Factor Analysis Neural Network
1 Introduction
2 Unsupervised Feature Learning via FANet
2.1 Normalizing the Input Data
2.2 Convolution Layers
2.3 Pooling Layers
2.4 Analytical Characterization of FANet
3 Experiments
3.1 Facial Recognition on FERET
3.2 Handwritten Digit Recognition on MNIST and MNIST Variations
4 Conclusion
References
Oscillated Variable Neighborhood Search for Open Vehicle Routing Problem
Abstract
1 Introduction
2 Proposed Algorithm
3 Experimental Results
4 Conclusion
Acknowledgements
References
Non-Line-of-Sight Mitigation via Lagrange Programming Neural Networks in TOA-Based Localization
1 Introduction
2 Background
2.1 Problem Formulation
3 Algorithm Development
4 Simulation Results
5 Conclusion
References
Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators
1 Introduction
2 Wave-Based Reservoir Computing
3 Phase Dynamics of Coupled Oscillators
3.1 Phase Response Curves
3.2 Phase Synchronization
4 Function Approximation and Regression by Wave-Based Reservoir Computing
4.1 Function Approximation by Two Coupled Oscillators
4.2 Functional Regression by an Oscillator Reservoir
5 Conclusion
References
Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes
1 Introduction
2 Proposed Hybrid Controller
2.1 Fuzzy Logic Controller
2.2 NN-Based Internal Model Controller
2.3 Hybrid Controller
3 Methodology
3.1 Development of FLC
3.2 Development of NN-Based IMC
4 Case Study and Experimental Data
5 Results and Discussion
6 Conclusion
References
Comparative Study of Web-Based Gene Expression Analysis Tools for Biomarkers Identification
Abstract
1 Introduction
2 Methodology
2.1 Gene Expression Datasets
2.2 Web-Based Gene Expression Analysis Tools
2.3 Evaluation
3 Results and Discussion
3.1 Features Comparison
3.2 Gene Markers Comparison
3.3 Classification of Selected Gene Markers
4 Conclusion
References
Eye Can Tell: On the Correlation Between Eye Movement and Phishing Identification
1 Introduction
2 Related Work
3 Proposal
4 Experiment Setup
5 Eye Movement Analysis
5.1 Extraction of Implicit Intention
5.2 Estimation of Participant's Likelihood to be Victim
6 Follow-Up Study
7 Conclusion
References
Gaussian Hamming Distance
Abstract
1 Introduction
2 Background
2.1 Image Analysis for Medical Diagnosis
2.2 Facial Palsy
3 Gaussian Hamming Distance
4 Properties of GHD Features of Facial Images
5 Evaluation of GHD
6 Conclusion
References
Local Sparse Representation Based Interest Point Matching for Person Re-identification
1 Introduction
2 State of the Art
3 Proposed Approach
4 Features Extraction
5 SURF Matching via Local Sparse Representation (LSR)
6 Binary Classifier for SURFs Filtering
7 Experimental Results
7.1 Contribution of LSR with Continuous Votes
7.2 Contribution of IPs Filtering
8 Conclusion
References
Behavior Based Darknet Traffic Decomposition for Malicious Events Identification
1 Introduction
2 Methodology
2.1 Suspicious Event Observations and Flow Segmenting
2.2 Scan Flow Grouping
3 Data Description
4 Experiment Results and Discussion
4.1 Port Scan
4.2 IP Scan
4.3 Hybrid Scan
5 Conclusions
References
Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes
Abstract
1 Introduction
1.1 The Proposed Method
2 Methodology
2.1 Estimating Spike Intervals {\varvec x}\left( {{\bf t}} \right)
2.2 Artificial Neural Network
3 Performance Evaluation
4 Results and Discussion
5 Conclusions
References
A Novel Condition for Robust Stability of Delayed Neural Networks
1 Introduction
2 Global Robust Stability Analysis
3 Conclusions
References
Robust L2E Parameter Estimation of Gaussian Mixture Models: Comparison with Expectation Maximization
1 Introduction and Motivation
2 EM Algorithm
3 Robust L2E Estimator
3.1 L2E Algorithm
3.2 GMM Models
4 Experimental Results
4.1 Performance Due to Data Contamination (Outliers)
4.2 Performance Due to Data/Model Mismatch
5 Summary and Conclusions
References
Real-Time Robust Model Predictive Control of Mobile Robots Based on Recurrent Neural Networks
1 Introduction
2 Problem Formulation
2.1 Dymamic Model of Mobile Robots
2.2 Model Predictive Control
3 Neurodynamic Optimization
4 Simulation Results
5 Conclusions
References
Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach
1 Introduction
2 Problem Description and Preliminaries
3 Main Results
4 Numerical Example
5 Conclusions
References
Modeling Astrocyte-Neuron Interactions
Abstract
1 Introduction
2 Astrocyte-Neuron Interactions
3 Neuronal Modulation: The Calcium Waves
4 Biological Inspiration
5 Related Work
6 Proposed Approach
6.1 Simulation Data
6.2 Learning Quality
7 Conclusion
References
Growing Greedy Search and Its Application to Hysteresis Neural Networks
1 Introduction
2 Hysteresis Neural Networks
3 Growing Greedy Search Algorithm
3.1 GGS1: Bit Inversion
3.2 GGS2: Zero Insertion
4 Numerical Experiments
5 Conclusions
References
Automated Detection of Galaxy Groups Through Probabilistic Hough Transform
1 Introduction
2 The Problem of Galaxy Group Identification
3 Probabilistic Hough Transform Galaxy Finder
3.1 Basic 2-D PHTM Group Finder
3.2 Full 3-D PHTM Group Finder in Observational Cone
4 Experimental Results
5 Conclusion
References
A Feature-Based Comparison of Evolutionary Computing Techniques for Constrained Continuous Optimisation
1 Introduction
2 Preliminaries
2.1 Constrained Continuous Optimisation Problems
2.2 Algorithms
2.3 Features of Constraints
3 Single-Objective Investigations
4 Multi-objective Investigations
4.1 Analysis for Linear Constraints
4.2 Analysis for Quadratic Constraints
5 Conclusion
References
A Feature-Based Analysis on the Impact of Set of Constraints for -Constrained Differential Evolution
1 Introduction
2 Preliminaries
2.1 Constrained Continuous Optimisation Problems
2.2 DEag Algorithm
3 Evolving Constraints
3.1 Algorithm
3.2 Evolving a Set of Inequality Constraints
3.3 Constraints Features
4 Experimental Analysis
4.1 Analysis for Linear Constraints
4.2 Analysis for Quadratic Constraints
4.3 Analysis for Combined Constraints
5 Conclusions
References
Convolutional Associative Memory: FIR Filter Model of Synapse
1 Introduction
2 Review of Literature
3 Dynamics of Convolutional Associative Memory
3.1 State as a Sequence
3.2 Synapse as a Linear FIR Filter: Sub-sampling
3.3 Convolution as Matrix Multiplication
3.4 Serial Mode Updation
3.5 Energy Function of the Network
3.6 Proof of Convergence of Energy in Serial Mode
3.7 Proposed Form of K
3.8 Convergence of the Network to a Stable State
4 Example
5 Applications: Multi Modal Intelligence
6 Conclusion
References
Exploiting Latent Relations Between Users and Items for Collaborative Filtering
1 Introduction
2 User-Relation-Item Model
2.1 Description
2.2 Algorithms
3 Experimental Study
3.1 Experimental Settings
3.2 Experimental Result
3.3 Complexity Analysis
4 Conclusion and Future Work
References
An Efficient Incremental Collaborative Filtering System
1 Introduction
2 Online Spherical K-Means
3 Efficient Incremental Collaborative Filtering System (EICF)
3.1 Training Step
3.2 Prediction Step
3.3 Incremental Training Step
4 Experimental Results
5 Conclusion
References
MonkeyDroid: Detecting Unreasonable Privacy Leakages of Android Applications
1 Introduction
2 Problem Statement
3 Monkeydroid
3.1 Extracting Sensitive-Information Behaviors
3.2 Application Description Analysis
3.3 Semantic Graphs of APK and Application Description Matching
4 Evaluation
4.1 Study Subjects
4.2 Experimental Environment
4.3 Results
5 Limitation
6 Conclusion
References
Statistical Prior Based Deformable Models for People Detection and Tracking
1 Introduction
2 Hybrid Active Contour Based Person Segmentation and Tracking
2.1 Shape Description and Initialization
2.2 Contour Prediction
2.3 Active Contour Model with Statistical Prior
2.4 Occlusion Handling
3 Algorithm
4 Experiments
4.1 Qualitative Evaluation
4.2 Quantitative Evaluation
5 Conclusion and Outlines
References
Visual and Dynamic Change Detection for Data Streams
1 Introduction
2 Data Stream Exploration
3 Change Detection Method
4 Experimental Results
5 Conclusions
References
Adaptive Location for Multiple Salient Objects Detection
1 Introduction
2 Geodesic Filtering Framework
3 Our Approach
4 Experiments
4.1 Comparison with State-of-the-Art
5 Conclusion
References
Robust Detection of Anomalies via Sparse Methods
1 Introduction
2 Theoretical Background
2.1 LASSO and Group LASSO
2.2 Robust Principal Component Analysis
2.3 Fused LASSO and Group Fused LASSO
3 Methods
3.1 Problem Formulation
3.2 Data Set
4 Results
5 Conclusion
References
Vehicle Detection Using Appearance and Shape Constrained Active Basis Model
Abstract
1 Introduction and Related Work
2 Active Basis Model
2.1 Overview of ABM
2.2 Deficiencies of ABM in Vehicle Detection
3 Appearance and Shape Constraint ABM
3.1 Appearance Constraint
3.2 Shape Constraint
4 Experiment Result
5 Conclusion
References
Denoising Cluster Analysis
1 Introduction
2 Preliminary: Mutual Information
3 Denoising Clustering
3.1 Generating Base Clusterings
3.2 Clustering Ensemble Using Mutual Information
4 Experiments
5 Conclusion
References
Novel Information Processing for Image De-noising Based on Sparse Basis
1 Introduction
2 About Compressed Sensing
3 Proposed Sparse Representation of Image
4 Proposed Image De-noising Method Based on Compressive Sensing
5 Experimental Results
6 Conclusion
References
Trajectory Abstracting with Group-Based Signal Denoising
1 Introduction
2 Related Work
3 The Framework for Trajectory Abstraction
3.1 Resampling
3.2 non-local Denoising
3.3 Parameter Selection for Group-Based Denoising
4 Evaluation
4.1 Fidelity (FID)
4.2 Integrality (INT)
5 Experiments
5.1 Results Analysis of Pedestrian Dataset
5.2 Results Analysis of Highway Dataset
5.3 Objective Evaluation
6 Conclusions
References
Multi-scale Fractional-Order Sparse Representation for Image Denoising
Abstract
1 Introduction
2 Multi-scale Fractional-Order Sparse Representation (MFSR)
2.1 Motivation
2.2 Multi-scale Re-Estimation of the Novel Sample Space
2.3 Modeling of MFSR
3 Experimental Results
3.1 Necessity of Multi-scale Decomposition
3.2 Effectiveness of Denoising
3.3 Computational Efficiency
4 Conclusion
Acknowledgements
References
Linear Hyperbolic Diffusion-Based Image Denoising Technique
Abstract
1 Introduction
2 Novel Linear Second-Order PDE-Based Restoration Model
3 Finite-Difference Based Numerical Approximation Scheme
4 Experiments and Method Comparison
5 Conclusions
References
Noise on Gradient Systems with Forgetting
1 Introduction
2 Models
2.1 Multiplicative/Additive Noise
2.2 Chaotic Noise
3 Energy Functions
3.1 Multiplicative/Additive Noise
3.2 Chaotic Noise
4 Effect of Noise
5 Conclusion
References
User Recommendation Based on Network Structure in Social Networks
Abstract
1 Introduction
2 Bayesian Nonparametric Mixture Matrix Factorization (BNPM-MF) Model
2.1 Network Structure Detection
2.2 User Recommendation
3 Experiments
4 Conclusion
Acknowledgements
References
Decoupled Modeling of Gene Regulatory Networks Using Michaelis-Menten Kinetics
1 Introduction
2 Background
3 The Method
3.1 The Model
3.2 Parameter Estimation
3.3 Computational Complexity
4 Results and Discussion
4.1 In silico Network
4.2 In vivo Network - IRMA
5 Conclusions
References
Neural Networks with Marginalized Corrupted Hidden Layer
1 Introduction
2 Related Works
3 MCHL
3.1 Learning Scheme
3.2 Marginalizing the Noise
4 Experiments
4.1 Influence of Blankout Corruption Level q
4.2 Influence of Hidden Nodes Number
4.3 Classification Performance
5 Conclusions
References
An Incremental Network with Local Experts Ensemble
1 Introduction
2 Proposed Method
2.1 Nodes Growing Procedure
2.2 Boundary Nodes Detection
2.3 Experts Activation and Training
2.4 The Complete Algorithm of INLEX
3 Experiments
4 Conclusion
References
Nitric Oxide Diffusion and Multi-compartmental Systems: Modeling and Implications
1 Introduction
2 Multi-compartmental Model of NO Diffusion
3 Analysis of the Model
4 Conclusions
References
Structural Regularity Exploration in Multidimensional Networks
Abstract
1 Introduction
2 Multidimensional Mixture Models
2.1 Multidimensional Newman's Mixture (MNM) Model
2.2 Multidimensional Bayesian Mixture (MBM) Model
3 Experiments
4 Conclusion
Acknowledgements
References
Proposal of Channel Prediction by Complex-Valued Neural Networks that Deals with Polarization as a Transverse Wave Entity
1 Introduction
2 Combining Polarization Through Path Separation
3 Simulation Experiment
3.1 Experimental Setup
3.2 Polarization State Estimation
3.3 BER for the Polarization-Combining CZT-CVNN Channel Prediction
4 Summary
References
A Scalable and Feasible Matrix Completion Approach Using Random Projection
1 Introduction
2 Preliminaries
2.1 Notation
2.2 Problem Formulation
2.3 Related Work
3 Methodology
3.1 Randomized SVD (RSVD)
3.2 Soft-Impute Based on RSVD
4 Empirical Analysis
4.1 Setup
4.2 Results
5 Conclusion
References
CuPAN -- High Throughput On-chip Interconnection for Neural Networks
Abstract
1 Introduction
2 Clos Topology
3 Neural Networks on Clos Topology
3.1 Broadcast on Clos
4 Evaluation
5 Conclusion
Acknowledgement
References
Forecasting Bike Sharing Demand Using Fuzzy Inference Mechanism
1 Introduction
2 Experimental Procedure
2.1 Data Preparation
2.2 Fuzzy Rulebase Construction
2.3 Fuzzy Inference
2.4 Rulebase Adaptation
2.5 Neural Network Prediction
3 Results and Discussion
4 Conclusion
References
Prior Image Transformation for Presbyopia Employing Serially-Cascaded Neural Network
1 Introduction
2 Serially-Cascaded Neural Network
2.1 Simulated Model of Presbyopia Vision
2.2 Luminance Correction Model of Image
3 Experimental Results
3.1 Experimental Results of the Conventional Method
3.2 Experimental Results of the Proposed Method
4 Conclusions
References
Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network
1 Introduction
2 Spike Response Model and Its Estimation
2.1 Original Model
2.2 Logistic Regression with L1 Regularization
2.3 Computational Complexity
2.4 Two-Stage Algorithm
3 Result
3.1 Numerical Experiment Setting
3.2 Estimated Connectivity Proportion
3.3 Comparison of the Elapsed Time
3.4 Comparison of the Estimation Accuracy
4 Summary
References
Matrix-Completion-Based Method for Cold-Start of Distributed Recommender Systems
1 Introduction
2 Related Work
2.1 Matrix Completion Problem
2.2 Decision Tree
3 Matrix-Completion-Based Method for Distributed Recommender System
3.1 Distributed Matrix Completion
3.2 Spectral Cluster
3.3 Decision Tree
3.4 Combination
4 Experiment
5 Conclusions
References
Weighted Joint Sparse Representation Based Visual Tracking
Abstract
1 Introduction
2 Weighted Joint Sparse Representation Based Tracker
2.1 Weighted Joint Sparse Representation
2.2 Solving of Objective Function
2.3 Template Updating
2.4 Tracking Algorithm
3 Experiments and Analyses
4 Conclusions
Acknowledgment
References
Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions
1 Introduction
2 Compressive Sampling on Hybrid Reconstructions
2.1 Observation Model
2.2 Compressive Sampling on Consensus
2.3 Recovery
2.4 Stability
3 Experimental Results
4 Conclusions
References
Neuro-Glial Interaction: SONG-Net
Abstract
1 Introduction
2 Related Works
3 Proposed Algorithm
3.1 SONG-Net Algorithm
4 Experiments and Results
5 Conclusion
References
Changes in Occupational Skills - A Case Study Using Non-negative Matrix Factorization
1 Introduction
1.1 Background and Related Work
1.2 Motivations and Objectives
2 Methods and Data
2.1 O*NET
2.2 Factor Analysis
2.3 Non-negative Matrix Factorization
2.4 Computational Considerations
3 Results
4 Conclusions and Future Plans
References
Constrained Non-negative Matrix Factorization with Graph Laplacian
1 Introduction
2 Related Works
2.1 A Brief Review of NMF
2.2 Related Works to Enhance NMF
3 Constrained Non-negative Matrix Factorization with Graph Laplacian
3.1 The Objective Function
3.2 The Updating Algorithm
4 Experimental Results
4.1 Evaluation Metrics
4.2 Data Sets
4.3 Performance Evaluations and Comparisons
4.4 Parameters Selection
5 Conclusions
References
Winner Determination in Multi-attribute Combinatorial Reverse Auctions
Abstract
1 Introduction
2 GAMICRA for Winner Determination
3 Experimentation
3.1 Experiment 1: Comparison with IAC, AC and EAB
3.2 Experiment 2: Comparison with Branch and Bound
3.3 Experiment 3: Comparison with the Exact Algorithm
4 Conclusion and Future Work
References
Real-Time Simulation of Aero-optical Distortions Due to Air Density Fluctuations at Supersonic Speed
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Calculate Properties of Shock Waves
3.2 Calculate Refractive Index
4 Implementation
4.1 Calculate Shock Wave Properties
4.2 Visual Simulation
5 Evaluation
5.1 Optical Distortion
6 Conclusions
7 Future Works
References
Fine-Grained Risk Level Quantication Schemes Based on APK Metadata
1 Introduction
2 Conventional Scheme
2.1 Mechanism
2.2 Dataset
2.3 Evaluation Using Our Dataset
2.4 Category-Based Analysis
3 Category-Based Risk Quantification
3.1 Mechanism
3.2 Evaluation
3.3 Toward Further Performance
4 Cluster-Based Risk Quantification
4.1 Mechanism
4.2 Evaluation and Analysis
5 Conclusion and Future Work
References
Opinion Formation Dynamics Under the Combined Influences of Majority and Experts
1 Introduction
2 Proposed Opinion Formation Model
2.1 Formulation of Majority and Expert Effects
2.2 Model Description
3 Simulation Results and Analysis
3.1 Majority vs. Expert Effect
3.2 Effect of Stubborn Agents
3.3 Consensus, Polarization and Fragmentation
4 Conclusion
References
Application of Simulated Annealing to Data Distribution for All-to-All Comparison Problems in Homogeneous Systems
1 Introduction
2 Related Work and Motivations
3 Problem Statement and Challenges
4 Data Distribution Strategy with Simulated Annealing
5 Experiments
6 Conclusion
References
Cognitive Workload Discrimination in Flight Simulation Task Using a Generalized Measure of Association
Abstract
1 Introduction
2 Generalized Measure of Association
3 Methodology
3.1 Experimental Protocol
3.2 EEG Data Analysis
4 Results and Analysis
4.1 Brain Networks in Different Task Conditions
4.2 Cognitive Workload Discrimination
5 Conclusion
References
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Neural Information Processing

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