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Neural Information Processing

Overview of attention for book
Cover of 'Neural Information Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Improved Kernel Density Estimation Self-organizing Incremental Neural Network to Perform Big Data Analysis
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    Chapter 2 HISBmodel: A Rumor Diffusion Model Based on Human Individual and Social Behaviors in Online Social Networks
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    Chapter 3 Multi-scale Feature Decode and Fuse Model with CRF Layer for Boundary Detection
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    Chapter 4 Sentimental Analysis for AIML-Based E-Health Conversational Agents
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    Chapter 5 Hashtag Recommendation with Attention-Based Neural Image Hashtagging Network
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    Chapter 6 CocoNet: A Deep Neural Network for Mapping Pixel Coordinates to Color Values
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    Chapter 7 BCMLP: Binary-Connected Multilayer Perceptrons
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    Chapter 8 Network of Recurrent Neural Networks: Design for Emergence
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    Chapter 9 Computationally Efficient Radial Basis Function
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    Chapter 10 A Model for Age and Gender Profiling of Social Media Accounts Based on Post Contents
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    Chapter 11 A Wiener Causality Defined by Relative Entropy
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    Chapter 12 Scene Graph Generation Based on Node-Relation Context Module
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    Chapter 13 Cross-Layer Convolutional Siamese Network for Visual Tracking
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    Chapter 14 A Data Augmentation Model Based on Variational Approach
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    Chapter 15 Asynchronous Value Iteration Network
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    Chapter 16 FVR-SGD: A New Flexible Variance-Reduction Method for SGD on Large-Scale Datasets
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    Chapter 17 A Neural Network Model for Gating Task-Relevant Information by Rhythmic Oscillations
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    Chapter 18 A Hybrid Model Based on the Rating Bias and Textual Bias for Recommender Systems
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    Chapter 19 Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map
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    Chapter 20 Neural Networks Models for Analyzing Magic: The Gathering Cards
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    Chapter 21 MulAttenRec: A Multi-level Attention-Based Model for Recommendation
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    Chapter 22 SSteGAN: Self-learning Steganography Based on Generative Adversarial Networks
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    Chapter 23 A Multidimensional Interaction-Focused Model for Ad-Hoc Retrieval
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    Chapter 24 Accounting Results Modelling with Neural Networks: The Case of an International Oil and Gas Company
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    Chapter 25 Attention Based Dialogue Context Selection Model
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    Chapter 26 Memory-Based Model with Multiple Attentions for Multi-turn Response Selection
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    Chapter 27 A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements
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    Chapter 28 Central Pattern Generator Based on Interstitial Cell Models Made from Bursting Neuron Models
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    Chapter 29 Active Feedback Framework with Scan-Path Clustering for Deep Affective Models
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    Chapter 30 A New Robust Stability Result for Delayed Neural Networks
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    Chapter 31 A Novel Criterion for Global Asymptotic Stability of Neutral-Type Neural Networks with Discrete Time Delays
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    Chapter 32 Anti-synchronization of Neural Networks with Mixed Delays
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    Chapter 33 Incremental Stability of Neural Networks with Switched Parameters and Time Delays via Contraction Theory of Multiple Norms
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    Chapter 34 Lag Synchronization of Complex-Valued Neural Networks with Time Delays
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    Chapter 35 Continuous Attractors of Nonlinear Neural Networks with Asymmetric Connection Weights
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    Chapter 36 Two Matrix-Type Projection Neural Networks for Solving Matrix-Valued Optimization Problems
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    Chapter 37 An Adaptive Ant Colony System for Public Bicycle Scheduling Problem
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    Chapter 38 An Artificial Neural Network for Distributed Constrained Optimization
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    Chapter 39 An Estimation of Distribution Algorithm for Large-Scale Optimization with Cooperative Co-evolution and Local Search
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    Chapter 40 A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization
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    Chapter 41 Modularity Maximization for Community Detection Using Genetic Algorithm
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    Chapter 42 Continuous Trade-off Optimization Between Fast and Accurate Deep Face Detectors
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    Chapter 43 Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes
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    Chapter 44 Robust Regression with Nonconvex Schatten p -Norm Minimization
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    Chapter 45 Adaptive Crossover Memetic Differential Harmony Search for Optimizing Document Clustering
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    Chapter 46 Neurodynamics-Based Nonnegative Matrix Factorization for Classification
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    Chapter 47 A Multi-kernel Semi-supervised Metric Learning Using Multi-objective Optimization Approach
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    Chapter 48 Software-as-a-Service Composition in Cloud Computing Using Genetic Algorithm
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    Chapter 49 Evolving Computationally Efficient Hashing for Similarity Search
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    Chapter 50 Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization
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    Chapter 51 A Neural Network Based Global Optimal Algorithm for Unconstrained Binary Quadratic Programming Problem
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    Chapter 52 Stochasticity-Assisted Training in Artificial Neural Network
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    Chapter 53 An Independent Approach to Training Classifiers on Physiological Data: An Example Using Smiles
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    Chapter 54 Mixed Precision Weight Networks: Training Neural Networks with Varied Precision Weights
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    Chapter 55 Policy Space Noise in Deep Deterministic Policy Gradient
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    Chapter 56 Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network
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    Chapter 57 Deep Deterministic Policy Gradient with Clustered Prioritized Sampling
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    Chapter 58 Induced Exploration on Policy Gradients by Increasing Actor Entropy Using Advantage Target Regions
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    Chapter 59 MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers
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    Chapter 60 Fault-Resistant Algorithms for Single Layer Neural Networks
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    Chapter 61 Adversarial Minimax Training for Robustness Against Adversarial Examples
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    Chapter 62 SATB-Nets: Training Deep Neural Networks with Segmented Asymmetric Ternary and Binary Weights
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    Chapter 63 Asynchronous Methods for Multi-agent Deep Deterministic Policy Gradient
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    Chapter 64 A Revisit of Reducing Hidden Nodes in a Radial Basis Function Neural Network with Histogram
Overall attention for this book and its chapters
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Mentioned by

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Title
Neural Information Processing
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-04179-3
ISBNs
978-3-03-004178-6, 978-3-03-004179-3
Editors

Cheng, Long, Leung, Andrew Chi Sing, Ozawa, Seiichi

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 25%
Student > Postgraduate 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%

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