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Neural Information Processing|Tom Gedeon

Neural Information Processing : 26th International Conference, Iconip 2019, Sydney, Nsw, Australia, December 12-15, 2019, Proceedings, Part V

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Overview

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 Classifier 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 Decom

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Details

  • ISBN-13: 9783030368012
  • ISBN-10: 3030368017
  • Publisher: Springer
  • Publish Date: December 2019
  • Dimensions: 9.21 x 6.14 x 1.62 inches
  • Shipping Weight: 2.48 pounds
  • Page Count: 792

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