Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 Handling Concept Drift in Time-Series Data: Meta-cognitive Recurrent Recursive-Kernel OS-ELM
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   Chapter 2 Analysis and Application of Step Size of RK4 for Performance Measure of Predictability Horizon of Chaotic Time Series
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   Chapter 3 Simultaneous Analysis of Subjective and Objective Data Using Coupled Tensor Self-organizing Maps: Wine Aroma Analysis with Sensory and Chemical Data
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   Chapter 4 Marine Multiple Time Series Relevance Discovery Based on Complex Network
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   Chapter 5 An Effective Lazy Shapelet Discovery Algorithm for Time Series Classification
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   Chapter 6 Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA
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   Chapter 7 Dynamic Streaming Sensor Data Segmentation for Smart Environment Applications
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   Chapter 8 Gaussian Process Kernels for Noisy Time Series: Application to Housing Price Prediction
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    Chapter 9 Least Cost Rumor Influence Minimization in Multiplex Social Networks
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    Chapter 10 Estimation of Student Classroom Attention Using a Novel Measure of Head Motion Coherence
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    Chapter 11 Structure, Attribute and Homophily Preserved Social Network Embedding
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    Chapter 12 Neural Network Collaborative Filtering for Group Recommendation
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    Chapter 13 Influence of Clustering on the Opinion Formation Dynamics in Online Social Networks
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    Chapter 14 N2SkyC - User Friendly and Efficient Neural Network Simulation Fostering Cloud Containers
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    Chapter 15 Question Rewrite Based Dialogue Response Generation
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    Chapter 16 A Lightweight Cloud Execution Stack for Neural Network Simulation
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    Chapter 17 Intelligent University Library Information Systems to Support Students Efficient Learning
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    Chapter 18 Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional Expressions
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    Chapter 19 Large Scale Behavioral Analysis of Ransomware Attacks
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    Chapter 20 Estimation of 3-D Pose with 2-D Vision Based on Shape Matching Method
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    Chapter 21 Hybrid Iterative Reconstruction for Low Radiation Dose Computed Tomography
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    Chapter 22 Fast Single Image De-raining via a Weighted Residual Network
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    Chapter 23 SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval
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    Chapter 24 A Pathology Image Diagnosis Network with Visual Interpretability and Structured Diagnostic Report
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    Chapter 25 Sketch-Based Image Retrieval via Compact Binary Codes Learning
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    Chapter 26 Improved Nuclear Segmentation on Histopathology Images Using a Combination of Deep Learning and Active Contour Model
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    Chapter 27 Hierarchical Online Multi-person Pose Tracking with Multiple Cues
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    Chapter 28 Fast Portrait Matting Using Spatial Detail-Preserving Network
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    Chapter 29 EEG Signal Analysis in 3D Modelling to Identify Correlations Between Task Completion in Design User’s Cognitive Activities
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    Chapter 30 Intelligent Educational Data Analysis with Gaussian Processes
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    Chapter 31 Dual-Convolutional Enhanced Residual Network for Single Super-Resolution of Remote Sensing Images
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    Chapter 32 Thyroid Nodule Segmentation in Ultrasound Images Based on Cascaded Convolutional Neural Network
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    Chapter 33 An Adjustable Dynamic Self-Adapting OSEM Approach to Low-Dose X-Ray CT Image Reconstruction
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    Chapter 34 DeepITQA: Deep Based Image Text Quality Assessment
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    Chapter 35 High Efficient Reconstruction of Single-Shot Magnetic Resonance $$T_{2}$$ Mapping Through Overlapping Echo Detachment and DenseNet
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    Chapter 36 Cascaded Deep Hashing for Large-Scale Image Retrieval
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    Chapter 37 Text-Independent Speaker Verification from Mixed Speech of Multiple Speakers via Using Pole Distribution of Speech Signals
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    Chapter 38 Deep Adaptive Update of Discriminant KCF for Visual Tracking
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    Chapter 39 Evolution of Images with Diversity and Constraints Using a Generative Adversarial Network
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    Chapter 40 Efficient Single Image Super Resolution Using Enhanced Learned Group Convolutions
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    Chapter 41 Linear Periodic Discriminant Analysis of Multidimensional Signals
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    Chapter 42 Correlation Filter Tracking with Complementary Features
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    Chapter 43 Fast Image Recognition with Gabor Filter and Pseudoinverse Learning AutoEncoders
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    Chapter 44 TiedGAN: Multi-domain Image Transformation Networks
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    Chapter 45 Graph Matching Based on Fast Normalized Cut
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    Chapter 46 Two-Phase Transmission Map Estimation for Robust Image Dehazing
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    Chapter 47 An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks
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    Chapter 48 Image Denoising Using a Deep Encoder-Decoder Network with Skip Connections
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    Chapter 49 MSCE: An Edge-Preserving Robust Loss Function for Improving Super-Resolution Algorithms