Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 Multi-label Feature Selection Method Combining Unbiased Hilbert-Schmidt Independence Criterion with Controlled Genetic Algorithm
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   Chapter 2 Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training
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   Chapter 3 Robust Multi-view Features Fusion Method Based on CNMF
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   Chapter 4 Brain Functional Connectivity Analysis and Crucial Channel Selection Using Channel-Wise CNN
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   Chapter 5 An Effective Discriminative Learning Approach for Emotion-Specific Features Using Deep Neural Networks
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   Chapter 6 Convolutional Neural Network with Spectrogram and Perceptual Features for Speech Emotion Recognition
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   Chapter 7 Feature Selection Based on Fuzzy Conditional Distinction Degree
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   Chapter 8 Multi-label Feature Selection Method Based on Multivariate Mutual Information and Particle Swarm Optimization
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    Chapter 9 Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulation
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    Chapter 10 Approximate Spectral Clustering Using Topology Preserving Methods and Local Scaling
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    Chapter 11 Discovering Similarities in Malware Behaviors by Clustering of API Call Sequences
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    Chapter 12 A Storm-Based Parallel Clustering Algorithm of Streaming Data
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    Chapter 13 Iterative Maximum Clique Clustering Based Detection Filter
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    Chapter 14 Towards a Compact and Effective Representation for Datasets with Inhomogeneous Clusters
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    Chapter 15 Adaptive Fuzzy Clustering Algorithm with Local Information and Markov Random Field for Image Segmentation
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    Chapter 16 Efficient Direct Structured Subspace Clustering
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    Chapter 17 Privacy-Preserving K-Means Clustering Upon Negative Databases
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    Chapter 18 Self-Paced Multi-Task Multi-View Capped-norm Clustering
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    Chapter 19 Shape Clustering as a Type of Procrustes Analysis
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    Chapter 20 Aspect-Level Sentiment Classification with Conv-Attention Mechanism
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    Chapter 21 Attention-Based Combination of CNN and RNN for Relation Classification
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    Chapter 22 Discrete Sparse Hashing for Cross-Modal Similarity Search
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    Chapter 23 Solving the Double Dummy Bridge Problem with Shallow Autoencoders
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    Chapter 24 Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World
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    Chapter 25 Decision Tree Twin Support Vector Machine Based on Kernel Clustering for Multi-class Classification
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    Chapter 26 Machine Learning Techniques for Classification of Livestock Behavior
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    Chapter 27 Two-Stage Attention Network for Aspect-Level Sentiment Classification
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    Chapter 28 The Fuzzy Misclassification Analysis with Deep Neural Network for Handling Class Noise Problem
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    Chapter 29 A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks
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    Chapter 30 Privacy-Preserving Naive Bayes Classification Using Fully Homomorphic Encryption
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    Chapter 31 Classification of Calligraphy Style Based on Convolutional Neural Network
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    Chapter 32 Tropical Fruits Classification Using an AlexNet-Type Convolutional Neural Network and Image Augmentation
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    Chapter 33 Supervised and Semi-supervised Multi-task Binary Classification
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    Chapter 34 Employ Decision Values for Soft-Classifier Evaluation with Crispy References
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    Chapter 35 Guide-Wire Detecting Based on Speeded up Robust Features for Percutaneous Coronary Intervention
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    Chapter 36 New Default Box Strategy of SSD for Small Target Detection
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    Chapter 37 Weakly Supervised Temporal Action Detection with Shot-Based Temporal Pooling Network
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    Chapter 38 Drogue Detection for Autonomous Aerial Refueling Based on Adaboost and Convolutional Neural Networks
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    Chapter 39 Deep Neural Network Based Salient Object Detection with Image Enhancement
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    Chapter 40 Brain Slices Microscopic Detection Using Simplified SSD with Cycle-GAN Data Augmentation
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    Chapter 41 Agglomeration Detection in Gas-Phase Ethylene Polymerization Based on Multi-scale Convolutional Neural Network
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    Chapter 42 Intra-class Structure Aware Networks for Screen Defect Detection
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    Chapter 43 Mobile Malware Detection - An Analysis of the Impact of Feature Categories
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    Chapter 44 Recurrent RetinaNet: A Video Object Detection Model Based on Focal Loss
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    Chapter 45 Neural Causality Detection for Multi-dimensional Point Processes
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    Chapter 46 Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process
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    Chapter 47 ExtTra: Short-Term Traffic Flow Prediction Based on Extremely Randomized Trees
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    Chapter 48 Actor Model Anomaly Detection Using Kernel Principal Component Analysis
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    Chapter 49 Passive Detection of Splicing and Copy-Move Attacks in Image Forgery
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    Chapter 50 Learning Latent Byte-Level Feature Representation for Malware Detection
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    Chapter 51 Occlusion Detection in Visual Tracking: A New Framework and A New Benchmark
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    Chapter 52 Attentional Payload Anomaly Detector for Web Applications
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    Chapter 53 A Semantic Parsing Based LSTM Model for Intrusion Detection
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    Chapter 54 Detecting the Doubt Effect and Subjective Beliefs Using Neural Networks and Observers’ Pupillary Responses
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    Chapter 55 Driver Sleepiness Detection Using LSTM Neural Network
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    Chapter 56 HTMTAD: A Model to Detect Anomalies of CDN Traffic Based on Improved HTM Network
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    Chapter 57 A Deep Learning Based Multi-task Ensemble Model for Intent Detection and Slot Filling in Spoken Language Understanding
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    Chapter 58 An Image-Based Approach for Defect Detection on Decorative Sheets
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    Chapter 59 Complex Conditional Generative Adversarial Nets for Multiple Objectives Detection in Aerial Images
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    Chapter 60 Facial Landmark Detection Under Large Pose