Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 Texture Classification with Patch Autocorrelation Features
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   Chapter 2 Novel Architecture for Cellular Neural Network Suitable for High-Density Integration of Electron Devices-Learning of Multiple Logics
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   Chapter 3 Analyzing the Impact of Feature Drifts in Streaming Learning
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   Chapter 4 Non-linear Metric Learning Using Metric Tensor
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   Chapter 5 An Optimized Second Order Stochastic Learning Algorithm for Neural Network Training
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   Chapter 6 Max-Pooling Dropout for Regularization of Convolutional Neural Networks
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   Chapter 7 Predicting Box Office Receipts of Movies with Pruned Random Forest
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   Chapter 8 A Novel $$\ell ^1$$ ℓ 1 -graph Based Image Classification Algorithm
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    Chapter 9 Classification of Keystroke Patterns for User Identification in a Pressure-Based Typing Biometrics System with Particle Swarm Optimization (PSO)
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    Chapter 10 Discriminative Orthonormal Dictionary Learning for Fast Low-Rank Representation
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    Chapter 11 Supervised Topic Classification for Modeling a Hierarchical Conference Structure
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    Chapter 12 A Framework for Online Inter-subjects Classification in Endogenous Brain-Computer Interfaces
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    Chapter 13 A Bayesian Sarsa Learning Algorithm with Bandit-Based Method
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    Chapter 14 Incrementally Built Dictionary Learning for Sparse Representation
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    Chapter 15 Learning to Reconstruct 3D Structure from Object Motion
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    Chapter 16 Convolutional Networks Based Edge Detector Learned via Contrast Sensitivity Function
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    Chapter 17 Learning Algorithms and Frame Signatures for Video Similarity Ranking
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    Chapter 18 On Measuring the Complexity of Classification Problems
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    Chapter 19 The Effect of Stemming and Stop-Word-Removal on Automatic Text Classification in Turkish Language
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    Chapter 20 Example-Specific Density Based Matching Kernel for Classification of Varying Length Patterns of Speech Using Support Vector Machines
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    Chapter 21 Possibilistic Information Retrieval Model Based on Relevant Annotations and Expanded Classification
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    Chapter 22 A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification
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    Chapter 23 Evaluation of Machine Learning Algorithms for Automatic Modulation Recognition
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    Chapter 24 Probabilistic Prediction in Multiclass Classification Derived for Flexible Text-Prompted Speaker Verification
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    Chapter 25 Simple Feature Quantities for Learning of Dynamic Binary Neural Networks
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    Chapter 26 Transfer Metric Learning for Kinship Verification with Locality-Constrained Sparse Features
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    Chapter 27 Unsupervised Land Classification by Self-organizing Map Utilizing the Ensemble Variance Information in Satellite-Borne Polarimetric Synthetic Aperture Radar
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    Chapter 28 Algorithmic Robustness for Semi-Supervised $$(\epsilon , \gamma , \tau )$$ -Good Metric Learning
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    Chapter 29 Patchwise Tracking via Spatio-Temporal Constraint-Based Sparse Representation and Multiple-Instance Learning-Based SVM
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    Chapter 30 An Autonomous Mobile Robot with Functions of Action Learning, Memorizing, Recall and Identifying the Environment Using Gaussian Mixture Model
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    Chapter 31 SEIR Immune Strategy for Instance Weighted Naive Bayes Classification
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    Chapter 32 Enhancing Competitive Island Cooperative Neuro-Evolution Through Backpropagation for Pattern Classification
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    Chapter 33 Email Personalization and User Profiling Using RANSAC Multi Model Response Regression Based Optimized Pruning Extreme Learning Machines and Gradient Boosting Trees
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    Chapter 34 An Auto-Encoder for Learning Conversation Representation Using LSTM
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    Chapter 35 On the Use of Score Ratio with Distance-Based Classifiers in Biometric Signature Recognition
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    Chapter 36 A Multifactor Dimensionality Reduction Based Associative Classification for Detecting SNP Interactions
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    Chapter 37 Distributed Q -learning Controller for a Multi-Intersection Traffic Network
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    Chapter 38 Learning Rule for Linear Multilayer Feedforward ANN by Boosted Decision Stumps
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    Chapter 39 Class-Semantic Color-Texture Textons for Vegetation Classification
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    Chapter 40 Towards Unsupervised Learning for Arabic Handwritten Recognition Using Deep Architectures
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    Chapter 41 Optimum Colour Space Selection for Ulcerated Regions Using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage
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    Chapter 42 Learning the Optimal Product Design Through History
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    Chapter 43 Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears
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    Chapter 44 Adaptive Differential Evolution Based Feature Selection and Parameter Optimization for Advised SVM Classifier
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    Chapter 45 TNorm: An Unsupervised Batch Effects Correction Method for Gene Expression Data Classification
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    Chapter 46 Finger-Vein Quality Assessment by Representation Learning from Binary Images
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    Chapter 47 Learning to Predict Where People Look with Tensor-Based Multi-view Learning
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    Chapter 48 Classification of the Scripts in Medieval Documents from Balkan Region by Run-Length Texture Analysis
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    Chapter 49 Accelerating Artificial Bee Colony Algorithm for Global Optimization
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    Chapter 50 Classification of High and Low Intelligent Individuals Using Pupil and Eye Blink
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    Chapter 51 Learning Task Specific Distributed Paragraph Representations Using a 2-Tier Convolutional Neural Network
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    Chapter 52 A Comparison of Supervised Learning Techniques for Clustering
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    Chapter 53 Radar Pattern Classification Based on Class Probability Output Networks
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    Chapter 54 Hierarchical Data Classification Using Deep Neural Networks
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    Chapter 55 Model Inclusive Learning for Shape from Shading with Simultaneously Estimating Illumination Directions
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    Chapter 56 A Computational Model of Match Decision-Making Problem Using Spiking SHESN with Reward-Modulated Reinforcement Learning
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    Chapter 57 Identify Website Personality by Using Unsupervised Learning Based on Quantitative Website Elements
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    Chapter 58 Discriminative Dictionary Learning for Skeletal Action Recognition
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    Chapter 59 Single Face Image Super-Resolution via Multi-dictionary Bayesian Non-parametric Learning
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    Chapter 60 Sparse LS-SVM in the Sorted Empirical Feature Space for Pattern Classification
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    Chapter 61 A Cost Sensitive Minimal Learning Machine for Pattern Classification
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    Chapter 62 A Minimal Learning Machine for Datasets with Missing Values
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    Chapter 63 Calibrated k-labelsets for Ensemble Multi-label Classification
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    Chapter 64 EMG Signal Based Knee Joint Angle Estimation of Flexion and Extension with Extreme Learning Machine (ELM) for Enhancement of Patient-Robotic Exoskeleton Interaction
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    Chapter 65 Continuous User Authentication Using Machine Learning on Touch Dynamics
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    Chapter 66 Information Theoretical Analysis of Deep Learning Representations
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    Chapter 67 Hybedrized NSGA-II and MOEA/D with Harmony Search Algorithm to Solve Multi-objective Optimization Problems
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    Chapter 68 A Complex Network-Based Anytime Data Stream Clustering Algorithm
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    Chapter 69 Robust Online Multi-object Tracking by Maximum a Posteriori Estimation with Sequential Trajectory Prior
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    Chapter 70 Enhance Differential Evolution Algorithm Based on Novel Mutation Strategy and Parameter Control Method
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    Chapter 71 Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System
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    Chapter 72 A Numerical Optimization Algorithm Based on Bacterial Reproduction
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    Chapter 73 Visual-Textual Late Semantic Fusion Using Deep Neural Network for Document Categorization
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    Chapter 74 Prototype Selection on Large and Streaming Data
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    Chapter 75 GOS-IL: A Generalized Over-Sampling Based Online Imbalanced Learning Framework
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    Chapter 76 A New Version of the Dendritic Cell Immune Algorithm Based on the K-Nearest Neighbors
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    Chapter 77 Impact of Base Partitions on Multi-objective and Traditional Ensemble Clustering Algorithms
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    Chapter 78 Multi-Manifold Matrix Tri-Factorization for Text Data Clustering
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    Chapter 79 Clustering of Binary Data Sets Using Artificial Ants Algorithm
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    Chapter 80 Inverse Reinforcement Learning Based on Behaviors of a Learning Agent