Neural Information Processing 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part V

Deep Residual-Dense Attention Network for Image Super-Resolution.- Discriminant Feature Learning with Self-Attention for Person Re-Identification.- SCS: Style and Content Supervision Network for Character Recognition with Unseen Font Style.- T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection.- IRSNET:An Inception-Resnet Feature Reconstruction Model for Building Segmentation.- Residual CRNN and Its Application to Handwritten Digit String Recognition.- G-HAPNet: A Novel Structure for Single Image Super-Resolution.- Inpainting with Sketch Reconstruction and Comprehensive Feature Selection.- Delving into Precise Attention in Image Captioning.- Dense Image Captioning based on Precise Feature Extraction.- Improve Image Captioning by Self-attention.- Dual-Path Recurrent Network for Image Super-Resolution.- Attention-based Image Captioning Using DenseNet Features.- High-Performance Light Field Reconstruction with Channel-wise and SAI-wise Attention.- Image Generation Framework for Unbalanced License Plate Data Set.- Cross-Domain Scene Text Detection via Pixel and Image-level Adaptation.- Modified adaptive implicit shape model for object detection.- An Expert Validation Framework for Improving the Quality of Crowdsourced Clustering.- A Label Embedding Method for Multi-Label Classification via Exploiting Local Label Correlations .- The Inadequacy of Entropy-Based Ransomware Detection.- Attention Network for Product Characteristics Prediction based on Reviews.- Semi-supervised Regularized Coplanar Discriminant Analysis.- Multi-object tracking with Conditional Random Field.- Intra-Modality Feature Interaction using Self-attention For Visual Question Answering.- Reinforcement Learning with Attention that Works: A Self-Supervised Approach.- Budget Cost Reduction for Label Collection with Confusability based Exploration.- Prediction of Refactoring-Prone Classes using  Ensemble Learning.- Analysis on Dropout Regularization.- On a convergence property of a geometrical algorithm for statistical manifolds.- Anomaly Detection Based on the Global-Local Anomaly Score for Trajectory Data.- Patch Selection Denoiser: An Effective Approach Defending against One-Pixel Attacks .- Demographic Prediction from Purchase Data based on Knowledge-Aware Embedding.- Addressing Reward Engineering for Deep Reinforcement Learning on Multi-Stage task.- High-Speed Synchronization of Pulse-Coupled Phase Oscillators on Multi-FPGA.- A New Approach to Automatic Heat Detection of Cattle in Video.- Accurate Localization Algorithm in Wireless Sensor Networks in the Presence of Cross Technology Interference.- On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine.- LoRa Indoor Localization Based on Improved Neural Network for Firefighting Robot.- Stability Analysis of Multiobjective Robust Controller Employing Switching of Competitive Associative Nets.- Interpreting Layered Neural Networks via Hierarchical Modular Representation.- Application Identification of Network Traffic by Reservoir Computing.- A New Supervised Learning Approach: Statistical Adaptive Fourier Decomposition (SAFD).- Artificial Neural Network-based Modeling for Prediction of Hardness of Austempered Ductile Iron.- Prediction of Hardness of Austempered Ductile Iron using Enhanced Multilayer Perceptron based on Chebyshev Expansion.- Improving Neural Network Classi?er using Gradient-based Floating Centroid Method.- MON: Multiple Output Neurons.- Evaluation on Neural Network Models for Video-Based Stress Recognition.- Pruning Convolutional Neural Network With Distinctiveness Approach.- Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time.- Regularizing Variational Autoencoders for Molecular Graph Generation.- Node-Edge Bilateral Attributed Network Embedding.- Info-Detection: An Information-Theoretic Approach to Detect Outlier.- Joint Grouping and Labeling via Complete Graph Decomposition.- Link Prediction with Attention-based Semantic Influence of Multiple Neighbors.- U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Images.- NEOKNN: A Network Embedding Method  Only Knowing Neighbor Nodes.- Hypergraph Regularized GM-pLSA: A Model to Learn the Latent Semantic Attributes.- Interactive Semantic Features Selection from Reviews for Recommendation.- DXNet: An Encoder-Decoder Architecture with XSPP for Semantic Image Segmentation in Street Scenes.- Anchor User Oriented Accordant Embedding for User Identity Linkage.- Event Prediction in Complex Social Graphs via Feature Learning of Vertex Embeddings.- A Social Recommendation Algorithm with Trust and Distrust Considering Domain Relevance.- Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model.- Online Estimation and Control of Neuronal Nonlinear Dynamics Based on Data-driven Statistical Approach.- Sparse Estimation of Neuronal Network Structure with Observed Data.- Implementation of Spiking Neural Network with Wireless Communications.- Local Topic Detection using Word Embedding from Spatio-temporal Social Media.- Building Mongolian TTS Front-End with Encoder-Decoder Model by Using Bridge Method and Multi-view Features.- Code Summarization with Abstract Syntax Tree.- Attention based Shared Representation for Multi-Task Stance Detection and Sentiment Analysis.- Multi-document Summarization using Adaptive Composite Differential Evolution.- MIRU:A novel memory interaction recurrent unit.- RL-Gen: A Character-Level Text Generation Framework with Reinforcement Learning in Domain Generation Algorithm Case.- A Conditional Random Fields Based Framework for Multiview Sequential Data Modeling.- From signal to image then to feature: Decoding pigeon behavior outcomes during goal-directed decision-making task using time-frequency textural features.- Convolutional Grid Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition.- Pattern Sequence Neural Network  for Solar Power Forecasting.- Euler Recurrent Neural Network: Tracking the Input Contribution to Prediction on Sequential Data.- Exploiting Cluster Structure in Probabilistic Matrix Factorization.- Ensemble Classifier Generation Using Class-Pure Cluster Balancing.- Temporal Continuity Based Unsupervised Learning for Person Re-Identification.- Networking Self-Organising Maps and Similarity Weight Associations.