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Neural Information Processing

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Cover of 'Neural Information Processing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Tree-Structure CNN for Automated Theorem Proving
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    Chapter 2 Training Deep Autoencoder via VLC-Genetic Algorithm
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    Chapter 3 Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections
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    Chapter 4 Knowledge Memory Based LSTM Model for Answer Selection
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    Chapter 5 Breast Cancer Malignancy Prediction Using Incremental Combination of Multiple Recurrent Neural Networks
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    Chapter 6 TinyPoseNet: A Fast and Compact Deep Network for Robust Head Pose Estimation
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    Chapter 7 Two-Stage Temporal Multimodal Learning for Speaker and Speech Recognition
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    Chapter 8 SLICE: Structural and Label Information Combined Embedding for Networks
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    Chapter 9 An Ultrasonic Image Recognition Method for Papillary Thyroid Carcinoma Based on Depth Convolution Neural Network
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    Chapter 10 An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks
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    Chapter 11 An End-to-End Approach for Bearing Fault Diagnosis Based on a Deep Convolution Neural Network
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    Chapter 12 Morph-CNN: A Morphological Convolutional Neural Network for Image Classification
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    Chapter 13 Combating Adversarial Inputs Using a Predictive-Estimator Network
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    Chapter 14 A Parallel Forward-Backward Propagation Learning Scheme for Auto-Encoders
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    Chapter 15 Relation Classification via Target-Concentrated Attention CNNs
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    Chapter 16 Comparing Hybrid NN-HMM and RNN for Temporal Modeling in Gesture Recognition
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    Chapter 17 Patterns Versus Characters in Subword-Aware Neural Language Modeling
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    Chapter 18 Hierarchical Attention BLSTM for Modeling Sentences and Documents
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    Chapter 19 Bi-Directional LSTM with Quantum Attention Mechanism for Sentence Modeling
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    Chapter 20 An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation
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    Chapter 21 CNN-LSTM Neural Network Model for Quantitative Strategy Analysis in Stock Markets
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    Chapter 22 Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets
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    Chapter 23 Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network
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    Chapter 24 Generative Moment Matching Autoencoder with Perceptual Loss
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    Chapter 25 Three-Means Ternary Quantization
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    Chapter 26 Will Outlier Tasks Deteriorate Multitask Deep Learning?
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    Chapter 27 The Effect of Task Similarity on Deep Transfer Learning
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    Chapter 28 Exploiting the Tibetan Radicals in Recurrent Neural Network for Low-Resource Language Models
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    Chapter 29 Learning Joint Multimodal Representation Based on Multi-fusion Deep Neural Networks
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    Chapter 30 DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction
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    Chapter 31 Bio-Inspired Deep Spiking Neural Network for Image Classification
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    Chapter 32 Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition
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    Chapter 33 Efficient Learning Algorithm Using Compact Data Representation in Neural Networks
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    Chapter 34 Regularizing CNN via Feature Augmentation
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    Chapter 35 Effectiveness of Adversarial Attacks on Class-Imbalanced Convolutional Neural Networks
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    Chapter 36 Sharing ConvNet Across Heterogeneous Tasks
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    Chapter 37 Training Deep Neural Networks for Detecting Drinking Glasses Using Synthetic Images
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    Chapter 38 Image Segmentation with Pyramid Dilated Convolution Based on ResNet and U-Net
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    Chapter 39 Deep Clustering with Convolutional Autoencoders
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    Chapter 40 An Incremental Deep Learning Network for On-line Unsupervised Feature Extraction
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    Chapter 41 Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks
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    Chapter 42 A Feature Learning Approach for Image Retrieval
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    Chapter 43 Soft-Margin Softmax for Deep Classification
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    Chapter 44 Temporal Attention Neural Network for Video Understanding
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    Chapter 45 Regularized Deep Convolutional Neural Networks for Feature Extraction and Classification
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    Chapter 46 Soccer Video Event Detection Using 3D Convolutional Networks and Shot Boundary Detection via Deep Feature Distance
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    Chapter 47 Very Deep Neural Networks for Hindi/Arabic Offline Handwritten Digit Recognition
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    Chapter 48 Layer Removal for Transfer Learning with Deep Convolutional Neural Networks
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    Chapter 49 Music Genre Classification Using Masked Conditional Neural Networks
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    Chapter 50 Reinforced Memory Network for Question Answering
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    Chapter 51 Hybrid Deep Learning for Sentiment Polarity Determination of Arabic Microblogs
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    Chapter 52 Low Frequency Words Compression in Neural Conversation System
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    Chapter 53 A Width-Variable Window Attention Model for Environmental Sensors
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    Chapter 54 Memorizing Transactional Databases Compressively in Deep Neural Networks for Efficient Itemset Support Queries
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    Chapter 55 Offensive Sentence Classification Using Character-Level CNN and Transfer Learning with Fake Sentences
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    Chapter 56 Hierarchical Hybrid Attention Networks for Chinese Conversation Topic Classification
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    Chapter 57 Aggregating Class Interactions for Hierarchical Attention Relation Extraction
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    Chapter 58 Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis
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    Chapter 59 3HAN: A Deep Neural Network for Fake News Detection
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    Chapter 60 Hierarchical Parameter Sharing in Recursive Neural Networks with Long Short-Term Memory
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    Chapter 61 Robust Deep Face Recognition with Label Noise
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    Chapter 62 Weakly-Supervised Dual Generative Adversarial Networks for Makeup-Removal
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    Chapter 63 Analysis of Gradient Degradation and Feature Map Quality in Deep All-Convolutional Neural Networks Compared to Deep Residual Networks
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    Chapter 64 Single-Image Super-Resolution for Remote Sensing Data Using Deep Residual-Learning Neural Network
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    Chapter 65 Layer-Wise Training to Create Efficient Convolutional Neural Networks
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    Chapter 66 Learning Image Representation Based on Convolutional Neural Networks
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    Chapter 67 Heterogeneous Features Integration in Deep Knowledge Tracing
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    Chapter 68 Boxless Action Recognition in Still Images via Recurrent Visual Attention
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    Chapter 69 Compositional Sentence Representation from Character Within Large Context Text
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    Chapter 70 Ultra-deep Neural Network for Face Anti-spoofing
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    Chapter 71 License Plate Detection Using Deep Cascaded Convolutional Neural Networks in Complex Scenes
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    Chapter 72 Task-Free Brainprint Recognition Based on Degree of Brain Networks
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    Chapter 73 Optimized Echo State Network with Intrinsic Plasticity for EEG-Based Emotion Recognition
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    Chapter 74 A Computational Investigation of an Active Region in Brain Network Based on Stimulations with Near-Infrared Spectroscopy
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    Chapter 75 An Algorithm Combining Spatial Filtering and Temporal Down-Sampling with Applications to ERP Feature Extraction
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    Chapter 76 Intent Recognition in Smart Living Through Deep Recurrent Neural Networks
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    Chapter 77 Recognition of Voluntary Blink and Bite Base on Single Forehead EMG
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    Chapter 78 Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography
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    Chapter 79 An Improved Visual-Tactile P300 Brain Computer Interface
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    Chapter 80 A New Hybrid Feature Selection Algorithm Applied to Driver’s Status Detection
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    Chapter 81 Deep Learning Method for Sleep Stage Classification
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    Chapter 82 Composite and Multiple Kernel Learning for Brain Computer Interface
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    Chapter 83 Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach
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    Chapter 84 EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks
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    Chapter 85 Real-Time fMRI-Based Brain Computer Interface: A Review
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    Chapter 86 Dynamic Bidding Strategy Based on Probabilistic Feedback in Display Advertising
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    Chapter 87 Dempster-Shafer Fusion of Semi-supervised Learning Methods for Predicting Defaults in Social Lending
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    Chapter 88 Robust Portfolio Risk Minimization Using the Graphical Lasso
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    Chapter 89 Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data
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    Chapter 90 Stacked Denoising Autoencoder Based Stock Market Trend Prediction via K-Nearest Neighbour Data Selection
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    Chapter 91 Ten-Quarter Projection for Spanish Central Government Debt via WASD Neuronet
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    Chapter 92 Data Augmentation Based Stock Trend Prediction Using Self-organising Map
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    Chapter 93 Deep Candlestick Mining
Attention for Chapter 93: Deep Candlestick Mining
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Chapter title
Deep Candlestick Mining
Chapter number 93
Book title
Neural Information Processing
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-319-70096-0_93
Book ISBNs
978-3-31-970095-3, 978-3-31-970096-0
Authors

Andrew D. Mann, Denise Gorse, Mann, AD, Gorse, D

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Unknown 1 100%