Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 Adaptive Deep Dictionary Learning for MRI Reconstruction
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   Chapter 2 Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization
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   Chapter 3 Viewpoint Estimation for Workpieces with Deep Transfer Learning from Cold to Hot
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   Chapter 4 Co-consistent Regularization with Discriminative Feature for Zero-Shot Learning
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   Chapter 5 Hybrid Networks: Improving Deep Learning Networks via Integrating Two Views of Images
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   Chapter 6 On a Fitting of a Heaviside Function by Deep ReLU Neural Networks
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   Chapter 7 Deep Tag Recommendation Based on Discrete Tensor Factorization
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   Chapter 8 Efficient Integer Vector Homomorphic Encryption Using Deep Learning for Neural Networks
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    Chapter 9 DeepSIC: Deep Semantic Image Compression
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    Chapter 10 Multi-stage Gradient Compression: Overcoming the Communication Bottleneck in Distributed Deep Learning
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    Chapter 11 Teach to Hash: A Deep Supervised Hashing Framework with Data Selection
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    Chapter 12 Multi-view Deep Gaussian Processes
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    Chapter 13 Deep Collaborative Filtering Combined with High-Level Feature Generation on Latent Factor Model
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    Chapter 14 Data Imputation of Wind Turbine Using Generative Adversarial Nets with Deep Learning Models
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    Chapter 15 A Deep Ensemble Network for Compressed Sensing MRI
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    Chapter 16 Deep Imitation Learning: The Impact of Depth on Policy Performance
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    Chapter 17 Improving Deep Neural Network Performance with Kernelized Min-Max Objective
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    Chapter 18 Understanding Deep Neural Network by Filter Sensitive Area Generation Network
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    Chapter 19 Accelerating Deep Q Network by Weighting Experiences
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    Chapter 20 Exploring Deep Learning Architectures Coupled with CRF Based Prediction for Slot-Filling
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    Chapter 21 Domain Adaptation via Identical Distribution Across Models and Tasks
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    Chapter 22 A Pointer Network Based Deep Learning Algorithm for the Max-Cut Problem
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    Chapter 23 Multi-stream with Deep Convolutional Neural Networks for Human Action Recognition in Videos
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    Chapter 24 Use 3D Convolutional Neural Network to Inspect Solder Ball Defects
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    Chapter 25 User-Invariant Facial Animation with Convolutional Neural Network
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    Chapter 26 An Approach for Feature Extraction and Diagnosis of Motor Rotor Bearing Based on Convolution Neural Network
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    Chapter 27 Gated Convolutional Networks for Commonsense Machine Comprehension
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    Chapter 28 Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids
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    Chapter 29 Human Action Recognition with 3D Convolution Skip-Connections and RNNs
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    Chapter 30 Convolutional Neural Network with Discriminant Criterion for Input of Each Neuron in Output Layer
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    Chapter 31 Proposal of Complex-Valued Convolutional Neural Networks for Similar Land-Shape Discovery in Interferometric Synthetic Aperture Radar
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    Chapter 32 Feature Learning and Transfer Performance Prediction for Video Reinforcement Learning Tasks via a Siamese Convolutional Neural Network
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    Chapter 33 Structured Sequence Modeling with Graph Convolutional Recurrent Networks
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    Chapter 34 Part-Level Sketch Segmentation and Labeling Using Dual-CNN
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    Chapter 35 RE-CNN: A Robust Convolutional Neural Networks for Image Recognition
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    Chapter 36 MusicCNNs: A New Benchmark on Content-Based Music Recommendation
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    Chapter 37 Remote Sensing Image Segmentation by Combining Feature Enhanced with Fully Convolutional Network
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    Chapter 38 A New LSTM Network Model Combining TextCNN
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    Chapter 39 Self-inhibition Residual Convolutional Networks for Chinese Sentence Classification
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    Chapter 40 A Hybrid 2D and 3D Convolution Based Recurrent Network for Video-Based Person Re-identification
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    Chapter 41 Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling
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    Chapter 42 Design of Synthesizing Multi-valued High-Capacity Auto-associative Memories Based on Complex-Valued Networks
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    Chapter 43 Analysis on the Occurrence of Tropical Cyclone in the South Pacific Region Using Recurrent Neural Network with LSTM
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    Chapter 44 Combining User-Based and Session-Based Recommendations with Recurrent Neural Networks
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    Chapter 45 EMD-Based Recurrent Neural Network with Adaptive Regrouping for Port Cargo Throughput Prediction
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    Chapter 46 Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation
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    Chapter 47 A Visual Recognition Model Based on Hierarchical Feature Extraction and Multi-layer SNN
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    Chapter 48 Skewed and Long-Tailed Distributions of Spiking Activity in Coupled Network Modules with Log-Normal Synaptic Weight Distribution
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    Chapter 49 Efficient Multi-spike Learning with Tempotron-Like LTP and PSD-Like LTD
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    Chapter 50 A Ladder-Type Digital Spiking Neural Network
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    Chapter 51 The Effects of Feedback Signals Mediated by NMDA-Type Synapses for Modulating Border-Ownership Selective Neurons in Visual Cortex
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    Chapter 52 Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks
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    Chapter 53 A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development
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    Chapter 54 Delayed Feedback Reservoir Computing with VCSEL
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    Chapter 55 Modeling the Respiratory Central Pattern Generator with Resonate-and-Fire Izhikevich-Neurons
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    Chapter 56 Proposal of Carrier-Wave Reservoir Computing
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    Chapter 57 Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and Analysis
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    Chapter 58 Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing