
Neural Information Processing
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
The four volume set LNCS 9489, LNCS 9490, LNCS 9491, and LNCS 9492 constitutes the proceedings of the 22nd International Conference on Neural Information Processing, ICONIP 2015, held in Istanbul, Turkey, in November 2015.
The 231 full papers presented were carefully reviewed and selected from 375 submissions. The 4 volumes represent topical sections containing articles on Learning Algorithms and Classification Systems; Artificial Intelligence and Neural Networks: Theory, Design, and Applications; Image and Signal Processing; and Intelligent Social Networks.
More details
Other editions
Additional editions

Content
- Intro
- Preface
- Organization
- Contents - Part IV
- Deep Feature-Action Processing with Mixture of Updates
- Abstract
- 1 Introduction
- 1.1 Actor-Critic and Neural Networks
- 1.2 Deep Learning and RL
- 1.3 Robot Homing
- 2 The Model
- 2.1 Model Architecture and Components
- 2.2 Actor-Critic Combined Network with Double Eligibility Traces
- 2.3 Mixing Gradient with Conjugate Gradient Updates
- 2.4 Deep Blended Actor-Critic Architecture
- 3 Experimental Results
- 3.1 Agent Learning Behavior and Convergence
- References
- Heterogeneous Features Integration via Semi-supervised Multi-modal Deep Networks
- 1 Introduction
- 2 Semi-Supervised Multi-Modal Deep Networks
- 2.1 Model Architecture
- 2.2 Extracting Homogeneous Representations by Root Networks
- 2.3 Feature Fusion with Top Networks
- 3 Experiments
- 3.1 Datasets and Experiment Setup
- 3.2 Experimental Results
- 4 Conclusion
- References
- Multimodal Deep Belief Network Based Link Prediction and User Comment Generation
- 1 Introduction
- 2 Models
- 2.1 Restricted Boltzmann Machine
- 2.2 Deep Belief Network
- 2.3 Multimodal Deep Belief Networks
- 3 Methodology
- 3.1 Link Network Structure Features
- 3.2 User Comment Features
- 3.3 Discriminative Deep Belief Networks
- 3.4 Reconstructive Deep Belief Networks
- 4 Experiments and Analysis
- 4.1 Experiment Setup
- 4.2 Link Prediction Results and Analysis
- 4.3 User Comment Generation Results and Analysis
- 5 Conclusion
- References
- Deep Dropout Artificial Neural Networks for Recognising Digits and Characters in Natural Images
- 1 Introduction
- 2 Methodology
- 2.1 Restricted Boltzmann Machines
- 2.2 Deep Neural Networks
- 2.3 Dropout Method
- 3 Data Set Description
- 4 Application and Results
- 5 Conclusion
- References
- A Multichannel Deep Belief Network for the Classification of EEG Data
- 1 Introduction
- 2 Deep Belief Networks
- 3 The Proposed Implementations of Multichannel DBN
- 4 Data Set
- 5 Experimental Results and Discussion
- 6 Conclusion
- References
- Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Human Activity Recognition with Convolutional Neural Networks
- 3.1 Convolutional Neural Networks
- 3.2 Convolutional Neural Network Architecture and Hyperparameters
- 4 Experiments
- 5 Conclusion
- References
- Concentration Monitoring with High Accuracy but Low Cost EEG Device
- Abstract
- 1 Introduction
- 2 Method
- 2.1 Overall Structure of the Proposed System
- 2.2 Experiment Design
- 2.3 EEG Signal Processing
- 2.4 Candidate Features for Concentration Detection
- 3 Experimental Results
- 4 Conclusion
- Acknowledgements
- References
- Transfer Components Between Subjects for EEG-based Driving Fatigue Detection
- 1 Introduction
- 2 Algorithm Description
- 2.1 Feature Extraction
- 2.2 Transfer Component Analysis
- 3 Experimental Setup
- 3.1 Subjects and Procedure
- 3.2 Data Collection and Pre-processing
- 3.3 Feature Smooth
- 3.4 Feature Extraction
- 3.5 Fatigue Measurement
- 3.6 Detailed Parameters for Training
- 4 Experiment Results
- 5 Conclusion and Future Work
- References
- A Proposed Blind DWT-SVD Watermarking Scheme for EEG Data
- 1 Introduction
- 2 The Proposed EEG Watermarking Approach
- 2.1 EEG Watermarking Embedding
- 2.2 EEG Watermarking Extraction
- 3 Experiments and Results
- 3.1 Dataset
- 3.2 Results
- 4 Conclusion and Future Work
- References
- A Study to Investigate Different EEG Reference Choices in Diagnosing Major Depressive Disorder
- Abstract
- 1 Introduction
- 2 Proposed EEG Measures
- 2.1 Inter-hemispheric Asymmetry
- 2.2 Inter-hemispheric Coherence
- 2.3 Power Computation Based on Welch Periodogram Method
- 3 Participant Recruitment and Experiment Design
- 3.1 Study Participants
- 3.2 Experiment Design
- 4 Data Analysis
- 4.1 EEG Data Preprocess
- 4.2 EEG Analysis
- 4.3 Validation
- 5 Results
- 5.1 Calculations of Accuracy, Sensitivity, and Specificity
- 5.2 Low Dimensional Representation
- 5.3 Classification Results
- 6 Conclusions
- References
- Prosthetic Motor Imaginary Task Classification Based on EEG Quality Assessment Features
- 1 Introduction
- 2 Methodology
- 2.1 Signal Recording
- 2.2 Feature Extraction
- 2.3 Classification Model
- 3 Results
- 4 Conclusion and Future Work
- References
- Enhancing Performance of EEG-based Emotion Recognition Systems Using Feature Smoothing
- 1 Introduction
- 2 The EEG-based Emotion Recoginition Model with Feature Smoothing
- 3 Experiments and Results
- 3.1 Dataset
- 3.2 Feature Extraction
- 3.3 Feature Smoothing
- 3.4 Experimental Results
- 4 Conclusion and Future Work
- References
- Intelligent Opinion Mining and Sentiment Analysis Using Artificial Neural Networks
- 1 Introduction
- 2 The State of the Art
- 3 Description of the System
- 4 Conclusions and Perspectives
- References
- Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases
- 1 Introduction
- 2 Preliminaries and Problem Definition
- 3 Proposed Method
- 4 Experimental Results
- 5 Conclusion
- 6 Related Work
- References
- Exploring Social Contagion in Open-Source Communities by Mining Software Repositories
- 1 Introduction
- 2 Related Work and Research Method
- 3 Results and Discussions
- 3.1 Power Law Distribution
- 3.2 Best Time to Start New Projects
- 3.3 Social Contagion in Open-Source Software Development
- 4 Limitations and Future Work
- 5 Conclusion
- References
- Data Mining Analysis of an Urban Tunnel Pressure Drop Based on CFD Data
- 1 Introduction
- 2 Methodology
- 3 Experimental Result
- 4 Conclusion
- References
- MapReduce-based Parallelized Approximation of Frequent Itemsets Mining in Uncertain Data
- Abstract
- 1 Introduction
- 2 Related Work
- 3 MapReduce-based Parallel Approximation Algorithm
- 4 Experimental Results
- 4.1 Performance Analysis
- 4.2 Performance Comparisons
- 5 Conclusions
- Acknowledgement
- References
- A MapReduce Based Technique for Mining Behavioral Patterns from Sensor Data
- 1 Introduction
- 2 RFSPs Mining Problem in Wireless Sensor Networks
- 3 RFSPs Mining Using MapReduce Model
- 4 Experimental Results
- 5 Conclusion
- References
- A Methodology for Synthesizing Interdependent Multichannel EEG Data with a Comparison Among Three Blind Source Separation Techniques
- 1 Introduction
- 2 Construction of Synthetic Data
- 3 Evaluation of the Projection Techniques
- 4 Conclusion
- References
- Analysing the Robust EEG Channel Set for Person Authentication
- 1 Introduction
- 2 Related Work
- 3 Proposed Method
- 3.1 Dataset
- 3.2 Preprocessing and Feature Extraction
- 3.3 Channel Selection Criteria
- 4 Experimental Details
- 5 Results and Discussion
- 6 Conclusion and Future Work
- References
- Automatic Brain Tumor Segmentation in Multispectral MRI Volumetric Records
- 1 Introduction
- 2 Materials and Methods
- 2.1 BRATS Data Sets
- 2.2 The FCM Cascade
- 2.3 FCM Initialization
- 2.4 Decision Support
- 2.5 Evaluation of Accuracy
- 3 Results and Discussion
- 4 Conclusion
- References
- Real-Time EEG-based Human Emotion Recognition
- Abstract
- 1 Introduction
- 2 Background
- 3 Real-Time Emotion Recognition
- 3.1 Experimental-Design
- 3.2 Emotion Recognition Algorithm
- 4 Comparison and Results
- 5 Software and Tools
- 6 Conclusion
- References
- Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data
- 1 Introduction
- 2 The Proposed NeuCube-Based Spiking Neural Network Methodology for Learning, Visualization and Clustering of STBD
- 2.1 Spiking Neural Networks for Modelling STBD
- 2.2 The NeuCube Architecture [3]
- 2.3 3D Dynamic Neuronal Clustering in a NeuCube SNN Model
- 3 Application of the Proposed Method on a Benchmark fMRI STBD
- 3.1 FMRI Data Acquisition Description
- 3.2 FMRI Data Mapping, Learning and Visualization in a SNNc
- 3.3 Dynamic Cluster Evolution in a NeuCube Model on the fMRI Case Study STBD
- 4 Conclusion
- References
- Vigilance Differentiation from EEG Complexity Attributes
- 1 Introduction
- 2 Subjects and Experimental Environment
- 3 Methodology
- 4 Results
- 4.1 Conclusion
- References
- Robust Discriminative Nonnegative Patch Alignment for Occluded Face Recognition
- 1 Introduction
- 2 Robust Discriminative Nonnegative Patch Alignment (RD-NPA)
- 2.1 Part Optimization
- 2.2 Whole Alignment
- 2.3 Objective Function of RD-NPA
- 3 Algorithm for Robust Discriminative Nonnegative Patch Alignment
- 4 Experiments
- 4.1 Data and Parameter Setting
- 4.2 Experimental Results
- 5 Conclusion
- References
- Single-Image Expression Invariant Face Recognition Based on Sparse Representation
- 1 Introduction
- 2 Shape-Constrained Sparse Representation
- 2.1 Shape-Constrained Texture Matching
- 2.2 Feature Interpretation
- 2.3 Sparse Texture Representation (STR)
- 3 Experiments
- 3.1 Shape Change
- 3.2 Expression Impact
- 4 Conclusion
- References
- Intensity-Depth Face Alignment Using Cascade Shape Regression
- 1 Introduction
- 2 Framework
- 2.1 Problem Description
- 2.2 Framework Structure
- 2.3 Feature
- 2.4 Initial Estimation
- 3 Experiments
- 3.1 FRGC
- 3.2 LIDF
- 4 Conclusion
- References
- Bio-Inspired Hybrid Framework for Multi-view Face Detection
- Abstract
- 1 Introduction
- 2 Bio-inspired Approaches to Face Detection
- 2.1 Unsupervised and Supervised Learning in Face Detection
- 2.2 Hierarchical Frameworks for Robust Face Detection
- 2.3 Challenge
- 3 Methodology
- 3.1 Unsupervised STDP Feature Extraction
- 3.2 Hybrid Feature Extraction and Selection
- 4 Results & Discussion
- 5 Conclusions & Future Work
- References
- Convolutional Neural Networks Considering Robustness Improvement and Its Application to Face Recognition
- Abstract
- 1 Introduction
- 2 Proposed Method
- 3 Experimental Results
- 4 Conclusion
- References
- Weighted-PCANet for Face Recognition
- 1 Introduction
- 2 Algorithm
- 2.1 Sample Specific Hat Matrix
- 2.2 Weighted-PCANet
- 2.3 Comparison with CNNs and PCANet
- 3 Experiments
- 3.1 Dataset and Experiment settings
- 3.2 Experimental Results and Analysis
- 4 Conclusion
- References
- Feature Extraction Based on Generating Bayesian Network
- 1 Introduction
- 2 Related Work
- 2.1 Deep Belief Networks
- 2.2 Bayesian Networks
- 3 Proposal for a Bayesian AutoEncoder
- 4 Implementation of Bayesian AutoEncoder
- 4.1 Definitions and Assumptions for the Parameters
- 4.2 Belief Propagation in BAE
- 4.3 Definition of Loss Function
- 5 Experiments for Feature Extraction Through BAE
- 5.1 Configurations
- 5.2 Input Data
- 5.3 Learned Network Structure
- 6 Concluding Remarks
- References
- Neural Population Coding of Stimulus Features
- 1 Introduction
- 2 Materials and Methods
- 2.1 Entropy Distillation and Statistical Independence
- 2.2 Entropy Distillation Networks
- 2.3 Synthetic Datasets
- 3 Results and Discussion
- 3.1 Noise
- 3.2 Pairwise and Higher Order Features
- 3.3 Just Higher Order Features
- 3.4 Changing Features
- 4 Conclusions
- References
- Extending Local Features with Contextual Information in Graph Kernels
- 1 Introduction
- 2 Definitions and Notation
- 3 Graph Kernels
- 4 Adding Contexts to Graph Kernels
- 5 Efficient Implementation
- 6 Experimental Results
- 7 Conclusions and Future Work
- References
- Classification of Alzheimer's Disease Based on Multiple Anatomical Structures' Asymmetric Magnetic Resonance Imaging Feature Selection
- Abstract
- 1 Introduction
- 2 Feature Selection Algorithm Based on Multiple Anatomical Structures' asymmetric MR Features (MASMR_FS)
- 2.1 Pre-processing of Brain MRI Samples
- 2.2 Multiple Types of MR Feature Extraction from Segmented Anatomical Structures
- 2.3 Wrapper Feature Selection Algorithm Based on Chain-like Agent Genetic Algorithm (CAGA) and SVM (MASMR_FS Algorithm)
- 2.3.1 Caga
- 2.3.2 Svm
- 2.4 Classification of AD Based on SVM
- 3 Experimental Results and Analysis
- 3.1 Experimental Conditions
- 3.2 Discrimination Power of Single Asymmetric Feature
- 3.3 Comparison Before and After Feature Selection
- 3.4 Comparison with P-Value Based Method
- 3.5 Classification Ability of Selected Features
- 4 Conclusion
- Acknowledgments
- References
- Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
- Abstract
- 1 Introduction
- 2 The Dataset
- 3 Data Collection and Labeling
- 4 Proposed Feature Extraction
- 5 Proposed Classification Solution
- 6 Experimental Results
- 7 Conclusion
- Acknowledgement
- References
- Weighting Based Approach for Semi-supervised Feature Selection
- 1 Introduction
- 2 Weighting Based Feature Selection: wCKM
- 3 Results
- 3.1 Experimental Setting
- 3.2 Comparison of Feature Quality on High-Dimensional Data
- 4 Conclusion
- References
- Path Planning with Slime Molds: A Biology-Inspired Approach
- 1 Introduction
- 2 Plasmodium in Nature
- 2.1 Behavior
- 2.2 Application of Real Physarum Polycephalum to Solve a Maze
- 3 Artificial Plasmodium Algorithm (APA)
- 3.1 Initialization
- 3.2 Placement of Two Foods in the Maze
- 3.3 Spread of Contraction Waves
- 3.4 Search for the Path
- 4 Computer Simulation
- 4.1 Netlogo
- 4.2 Setting of Mazes
- 5 Results
- 6 Conclusions
- References
- Convolutional Neural Network with Biologically Inspired ON/OFF ReLU
- Abstract
- 1 Introduction
- 2 Proposed Method
- 2.1 Modeling Retinal Structure
- 2.2 ON/oFF Rectified Linear Unit
- 2.3 Modification of Convolutional Neural Network
- 3 Experimental Results
- 4 Conclusions
- References
- Multivariate Autoregressive-based Neuronal Network Flow Analysis for In-vitro Recorded Bursts
- 1 Introduction
- 2 Methodology
- 2.1 Multivariate Autoregressive Modelling
- 2.2 Partial Directed Coherence
- 3 Experimental Data Analysis
- 3.1 Burst Identification, Extraction and Filtering
- 4 Results and Discussion
- 5 Conclusion
- References
- Cognitive Load Driven Directed Information Flow in Functional Brain Networks
- Abstract
- 1 Introduction
- 2 Normalized Transfer Entropy
- 3 Directed Information Flow in Functional Brain Networks
- 4 Methods
- 4.1 Participants and EEG Data Acquisition
- 4.2 EEG Signal Pre-processing
- 4.3 Analysis Framework of Information Flow Direction Patterns
- 5 Results and Discussion
- 5.1 Construction and Visualization of Directed FBNs
- 5.2 Analysis of Directed Group FBNs Using Total Degree Measure
- 5.3 Information Flow Direction During Cognitive Activity
- 6 Conclusion
- References
- Discrimination of Brain States Using Wavelet and Power Spectral Density
- Abstract
- 1 Introduction
- 2 Energy and Power
- 3 Materials and Methods
- 3.1 Preprocessing
- 3.2 Participants
- 3.3 Tasks
- 3.4 EEG Recording Procedure
- 4 Results and Discussion
- 5 Conclusion
- Acknowledgment
- References
- A Cortically-Inspired Model for Bioacoustics Recognition
- 1 Introduction
- 2 Related Work
- 3 Wavelet Transforms
- 4 Hierarchical Temporal Memory
- 5 Experimental Study
- 6 Results and Discussion
- 7 Conclusion
- References
- Ontology-based Information Extraction for Residential Land Use Suitability: A Case Study of the City of Regina, Canada
- 1 Introduction
- 2 Decision Criteria Based on Spatial Relations
- 3 Proposed Method
- 3.1 LUSA OBIE
- 3.2 GIS-based Multi-criteria Decision Making (MCDM)
- 4 Case Study: The City of Regina
- 4.1 Study Area
- 4.2 Specification of the Criteria
- 4.3 Selection of Data Layers
- 4.4 Creation of Factor and Constraint Images
- 5 Conclusion
- References
- Correlating Open Rating Systems and Event Extraction from Text
- 1 Introduction
- 2 Related Work
- 3 Dataset
- 4 Event Dictionary Construction
- 4.1 Event Extraction
- 4.2 Dictionary Construction
- 5 Evaluation
- 5.1 Error Analysis
- 5.2 Application to Data from the ESWC2014 Challenge
- 6 Conclusions and Future Works
- References
- Adaptive DDoS-Event Detection from Big Darknet Traffic Data
- 1 Introduction
- 2 Proposed System
- 2.1 System Constitution
- 2.2 Feature Extraction
- 2.3 Learning
- 3 Experiments and Performance Evaluation
- 3.1 Experimental Setup
- 3.2 Experimental Results
- 4 Discussion
- 5 Conclusions
- References
- Content Based Video Retrieval for Obscene Adult Content Detection
- 1 Introduction
- 2 Related Work
- 3 Proposed Methodology
- 4 Implementation
- 5 Results and Discussion
- 6 Conclusion
- References
- Combined Document/Business Card Detector for Proactive Document-Based Services on the Smartphone
- 1 Introduction
- 2 Quadrilateral Region Extraction
- 2.1 Image Partitioning
- 2.2 Block-based Line Fitting
- 2.3 Searching Largest Quadrilateral
- 3 Region Classification
- 3.1 Previous Work on Document Image Classification
- 3.2 Proposed Method
- 4 Experiments
- 4.1 Data Collection
- 4.2 Evaluation of Extracting Quadrilateral Region
- 4.3 Evaluation of Region Classification
- 5 Conclusion
- References
- A Heuristic Data Mining Framework Towards Dynamic Data of Social Media
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Motivation and Problem Formulation
- 4 Proposed Solution
- 5 Experimental Tests
- 6 Conclusions
- References
- Abnormal Activity Detection Using Spatio-Temporal Feature and Laplacian Sparse Representation
- 1 Introduction
- 2 Methodology
- 2.1 Spatio-Temporal Feature
- 2.2 Laplacian Sparse Representation for Spatio-Temporal Feature
- 2.3 Maximum Pooling
- 2.4 Abnormal Activity Detection via SVM
- 3 Experiments
- 3.1 Experimental Results on the UMN Dataset
- 3.2 Experimental Results on the Hockey Dataset
- 4 Conclusion
- References
- Noise-Robust Iris Authentication Using Local Higher-Order Moment Kernels
- 1 Introduction
- 2 Iris Authentication Using Local Higher-Order Moment Kernels
- 2.1 Iris Detection and Normalization
- 2.2 Local Higher-Order Moment Feature and the Kernel Function
- 2.3 Iris Code Generation and Matching
- 3 Experiments
- 3.1 Experiment 1: Direct Use of Local Higher-Order Spectral Features
- 3.2 Experiment 2: LHOM Kernel-based Method
- 3.3 Experiment 3: Verification Using Noisy Data
- 4 Conclusion
- References
- Myoelectric Control System of Lower Limb Exoskeleton for Re-training Motion Deficiencies
- 1 Introduction
- 2 Control Strategy for Guided Exoskeleton Motion
- 3 Raw EMG Signal Acquisition
- 3.1 Sensor Placement
- 3.2 Electrode Placement
- 4 Gait Phase Recognition
- 5 Discussion
- Reference
- A Medical Image Steganography Method Based on Integer Wavelet Transform and Overlapping Edge Detection
- 1 Introduction
- 2 Related Work
- 3 The Proposed Method
- 3.1 The Embedding Process
- 3.2 The Extraction Process
- 4 Experimental Result and Discussion
- 5 Conclusion
- References
- Combining CNN and MIL to Assist Hotspot Segmentation in Bone Scintigraphy
- 1 Introduction
- 2 Methodology
- 2.1 Using CNN to Train Image-Level Classifier
- 2.2 Using MIL to Train Patch-Level Classifier
- 2.3 Using Level Set to Segment Hotspot
- 3 Experiments
- 4 Conclusion
- References
- Topic and Thematic Description for Movies Documents
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Proposed Approach
- 3.1 Text Segmentation Phase
- 3.2 Description Extraction Phase
- 4 Experiment Results
- 4.1 Evaluation of the Estimation Parameter
- 4.2 Comparison and Discussion Results
- 5 Conclusion and Futures Works
- References
- Texture Based Method for Automated Detection, Localization and Evaluation of the Exudates in Retinal Images
- Abstract
- 1 Introduction
- 2 Methodology and Algorithms
- 3 Experimental Results and Discussions
- 4 Conclusions
- References
- A Graph Community and Bag of Categorized Visual Words Based Image Retrieval
- Abstract
- 1 Introduction
- 2 Bag of Categorized Visual Words
- 2.1 Bag of Visual Words
- 2.2 Bag of Categorized Visual Words
- 3 Tag Graph Community Detection
- 3.1 Complex Networks and Community Detection
- 3.2 Tag Graph
- 4 Experimental Results
- 4.1 Dataset
- 4.2 BOCVW/BOVW Parameters
- 4.3 Image Retrieval Framework
- 4.4 Tag Community Detection and Selection
- 4.5 Overall Experimental Performance
- 5 Conclusions
- References
- Nearest Neighbor with Multi-feature Metric for Image Annotation
- Abstract
- 1 Introduction
- 2 Multi-feature Metric Learning Method
- 3 Nearest Neighbor Model
- 4 Experiments and Results
- 4.1 Experiments with Our Model
- 4.2 Experiments Compared with Other Methods
- 4.3 Experiments for Distance Metric Learning
- 5 Conclusion
- References
- Number Recognition of Sudoku Grid Image with Artificial Neural Networks
- Abstract
- 1 Introduction
- 2 Method
- 3 Results and Discussion
- 4 Conclusion and Future Work
- References
- Counting Human Actions in Video During Physical Exercise
- 1 Introduction
- 2 Identification and Counting Human Actions
- 3 Performance Evaluation
- 4 Conclusion and Future Work
- References
- Towards a Blind MAP-Based Traitor Tracing Scheme for Hierarchical Fingerprints
- 1 Introduction
- 2 The Multi-Level Hierarchical Fingerprint Construction
- 3 The Proposed Tracing Scheme
- 3.1 The Boneh Shaw - Tardos Accusation Strategy in a Non-Blind Scheme
- 3.2 MAP Decoding Strategy
- 3.3 MAP Decoding in Two-Layered Tracing Scheme
- 4 Experimental Results
- 4.1 Results of Stability Against Different Collusion Strategies
- 4.2 Results When Varying the Code Lengths
- 4.3 Time Estimation
- 5 Conclusion
- References
- Poisson Image Denoising Based on BLS-GSM Method
- Abstract
- 1 Introduction
- 2 Method Description
- 2.1 Poisson Noise
- 2.2 Our Algorithm
- 3 Experiments and Analysis
- 4 Discussion and Conclusion
- Acknowledgement
- References
- Exploring Relative Motion Features for Gait Recognition with Kinect
- Abstract
- 1 Introduction
- 2 Proposed Method
- 2.1 Kinect Skeleton Data
- 2.2 Distance-Based Relative Motion Features Extraction
- 2.3 Static Gait Feature Extraction
- 2.4 Feature Selection and Classification
- 3 Experiment and Results
- 3.1 Skeleton Gait Dataset
- 3.2 Classification Results
- 3.3 Comparison to Other Methods
- 4 Conclusion
- References
- Characterisation of Cognitive Activity Using Minimum Connected Component
- Abstract
- 1 Introduction
- 2 Functional Brain Network Analysis Using Graph Theoretic Concepts
- 3 FBN Analysis Using MCC and Cliques
- 4 Data Collection and Pre-processing
- 5 Measuring Cognitive Activity in FBN Using MCC and Clique Analyses
- 6 Results and Discussion
- 6.1 Clusters of Connectivity Patterns
- 6.2 Clique Analysis
- 7 Conclusion
- References
- Real-Time People Counting Application by Using GPU Programming
- Abstract
- 1 Introduction
- 2 People Counting Application
- 2.1 Counting Algorithm
- 2.2 Capturing Images
- 2.3 Gray-Scale Transform
- 2.4 Background Subtraction
- 2.5 Morphological Operations
- 2.6 Blob Analysis and Counting
- 3 Experimental Results
- 4 Conclusion
- References
- Activity and Flight Trajectory Monitoring of Mosquito Colonies for Automated Behaviour Analysis
- Abstract
- 1 Introduction
- 2 Camera Placement
- 3 Activity Monitoring
- 4 Flight Trajectory Estimation
- 5 Conclusion
- References
- Facial Emotion Profiling Based on Emotion Specific Feature Model
- Abstract
- 1 Introduction
- 2 Facial Emotion Profiling
- 3 Results and Discussion
- 4 Conclusion
- Acknowledgments
- References
- Heterogeneous Discriminant Analysis for Cross-View Action Recognition
- 1 Introduction
- 2 Heterogeneous Transfer Linear Discriminant Analysis
- 3 Heterogeneous Transfer Kernel Discriminant Analysis
- 4 Experiments
- 4.1 Dataset
- 4.2 Setup
- 4.3 Results
- 5 Conclusions
- References
- A Comparison of Facial Features and Fusion Methods for Emotion Recognition
- 1 Introduction and Motivation
- 2 Facial Expression Feature Extraction
- 3 Emotion Recognition Classifiers
- 4 Experimental Protocol
- 5 Performance of the Individual Features
- 6 Fusion
- 7 Summary and Conclusions
- References
- A Review and Comparison of Service E-Contract Architecture Metamodels
- 1 Introduction
- 2 Research Method
- 3 Analysis: Metamodels
- 3.1 EREC metamodel
- 3.2 Three-Layered E-Contract Enforcement Metamodel
- 3.3 Secure E-Contract Metamodel
- 4 Discussion
- 4.1 Structure
- 4.2 Behavior
- 4.3 Technology
- 5 Conclusion
- References
- A Comparative Analysis of Scalable and Context-Aware Trust Management Approaches for Internet of Things
- Abstract
- 1 Introduction
- 2 Trust/Reliable Management Protocol for IoT
- 3 Scalable Solution for Trust Management in the IoT
- 4 Context-Aware Trust Assessment in IoT Networks
- 5 Comparative Analysis of Trust/Reliability Management Approaches in the IoT and Discussions
- 6 Conclusion
- References
- Societal Intelligence -- A New Perspective for Highly Intelligent Systems
- 1 Introduction
- 2 Intelligent Knowledge-Based Agents
- 3 A New Perspective for Highly Intelligent Multi-agent Systems
- 3.1 Characterization of the Intelligence of Human Society
- 3.2 A Novel Societal Multi-agent System Architecture
- 4 Case Study of a Simple Societal Multi-agent System
- 5 Conclusion
- References
- DOTS: Drift Oriented Tool System
- 1 Introduction
- 2 Drift Oriented Tool System
- 2.1 Introduction
- 2.2 Specific Features of DOTS
- 3 Case Study: Twitter Stream
- 3.1 Drift Example in Twitter
- 3.2 Twitter Classification
- 3.3 Using DOTS to Twitter Classification
- 4 Conclusions and Future Work
- References
- Approximately Similarity Measurement of Web Sites
- Abstract
- 1 Introduction
- 2 The Selection of the Significant Web Pages of a Web Site
- 3 Applied Genetic Algorithm
- 4 The Implementation
- 5 Conclusions and Future Work
- References
- Using NLP Specific Tools for Non-NLP Specific Tasks. A Web Security Application
- 1 Introduction
- 2 Related Work
- 3 Our Approach
- 4 Results
- 5 Conclusions and Further Work
- References
- Towards Soft Computing Approaches for Formulating Viable Service Level Agreements in Cloud
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Viable SLA lifecycle
- 4 Fuzzy Inference System (FIS) for Dynamic Resource Allocation
- 5 Validate the FIS and Analyze Using Neural Nand Regression-Based Methods
- 6 Conclusion
- References
- ARPPS: Augmented Reality Pipeline Prospect System
- Abstract
- 1 Introduction
- 2 Methods
- 2.1 Spatial Data Organization and Distribution
- 2.2 3D Registration and Tracking
- 2.3 Mapping the Sense of Reality on Virtual-Real Fusion
- 3 Operational Results
- 4 Conclusion
- References
- Identifying SQL Queries Similarity Using SVM
- 1 Introduction
- 2 Related Work
- 3 Approach to Predicting Similarity
- 3.1 SQL Queries Representation
- 3.2 Building a Summary Structure
- 3.3 Our Proposed Kernels
- 4 Experimentations and Results
- 4.1 Experimental Methodology
- 4.2 Results
- 5 Conclusion
- References
- Improving the Quality of Load Forecasts Using Smart Meter Data
- 1 Introduction
- 2 Smart Meter Dataset
- 3 Problem Statement
- 3.1 Single Model Method Formulation
- 3.2 Clustering-based Method Formulation
- 4 Single Model Forecast
- 5 Wavelet Transformation and Interactive k-means
- 6 Case Study
- 7 Conclusion
- References
- Transport-Independent Protocols for Universal AER Communications
- 1 Neural AER Communications: The Case for Standardisation
- 2 A Proposed Protocol for AER Communications
- 2.1 Comments on Data Handling
- 2.2 Supported Formats
- 3 Implementation on a Real Platform
- 3.1 Platforms
- 3.2 SpiNNaker-Side: The EIEIO Interface
- 3.3 iCub-side: The AER Library
- 4 Multi-system, Multi-modal Real-Time Operation
- 4.1 Simulation with a Virtual Device
- 4.2 Hardware Operation with the Proposed Interface
- 5 Discussion: Potential and Challenges
- 5.1 Current Work: Immediate Implications
- 5.2 Next Steps: Future Work
- 6 Conclusions
- References
- A Methodological Approach for Big Data Security: Application for NoSQL Data Stores
- Abstract
- 1 Introduction
- 2 A Survey on Big Data Security Techniques
- 3 Related Works
- 4 Big Data and NoSQL
- 5 Overview of the Approach
- 5.1 The Pre-treatment Phase
- 5.2 Find and Identify Sensitive Attributes Phase
- 5.3 Sensitive Data Fragmentation Phase
- 5.4 Data Reconstruction
- 6 Conclusion
- References
- Erratum to: Identifying SQL Queries Similarity Using SVM
- 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.