Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part I / edited by Tom Gedeon, Kok Wai Wong, Minho Lee.

Format:

Book

Contributor:

Gedeon, T. (Tamás), 1960- editor.

Wong, Kok Wai, editor.

Lee, Minho, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 11953.

Theoretical Computer Science and General Issues ; 11953

Language:

English

Subjects (All):

Pattern perception.

Artificial intelligence.

Optical data processing.

Application software.

Computers, Special purpose.

Pattern Recognition.

Artificial Intelligence.

Image Processing and Computer Vision.

Information Systems Applications (incl. Internet).

Special Purpose and Application-Based Systems.

Local Subjects:

Pattern Recognition.

Artificial Intelligence.

Image Processing and Computer Vision.

Information Systems Applications (incl. Internet).

Special Purpose and Application-Based Systems.

Physical Description:

1 online resource (XXII, 781 pages) : 318 illustrations, 234 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 11953, is organized in topical sections on adversarial networks and learning; convolutional neural networks; deep neural networks; feature learning and representation; human centred computing; human centred computing and medicine; hybrid models; and artificial intelligence and cybersecurity.

Contents:

Adversarial Networks and Learning

FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network

Adversarial Learning for Cross-modal Retrieval with Wasserstein Distance

Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization

Multi-View Image Generation by Cycle CVAE-GAN Networks

B-DCGAN: Evaluation of Binarized DCGAN for FPGA

A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning

Weakly Supervised Fine-Grained Visual Recognition via Adversarial Complementary Attentions and Hierarchical Bilinear Pooling

Learning an Adversarial Network for Speech Enhancement under Extremely Low Signal-to-noise Ratio Condition

HaGAN: hierarchical attentive adversarial learning for task-oriented dialogue system

Learning to Generate Ambiguous Sequences

Convolutional Neural Networks

Deep Learning for Combo Object Detection

DasNet: Dynamic Adaptive Structure for Accelerating Multi-Task Convolutional Neural Network

Confusion-Aware Convolutional Neural Network for Image Classification

Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection

Self-Adaptive Network Pruning

Text-Augmented Knowledge Representation Learning Based on Convolutional Network

A novel online ensemble convolutional neural networks for streaming data

Cross-Media Image-Text Retrieval Based on Two-Level Network

Fusion Convolutional Attention Network for Opinion Spam Detection

Deep CNN Based System for Detection and Evaluation of RoIs in Flooded Areas

Deep Neural Networks

Improving Deep Learning by Regularized Scale-free MSE of Representations

Training behavior of deep neural network in frequency domain

On The Initialization of Long Short-Term Memory Networks

A Multi-cascaded Deep Model for Bilingual SMS Classification

Low Resource Named Entity Recognition using Contextual Word Representation and Neural Cross-Lingual Knowledge Transfer

An Analysis of the Interaction Between Transfer Learning Protocols in Deep Neural Networks

Feature Learning and Representation

Representation Learning for Heterogeneous Information Networks via Embedding Events

Unified Framework for Visual Domain Adaptation Using Globality- Locality Preserving Projections

Zero-shot Learning for Intrusion Detection via Attribute Representation

Region Selection Model with Saliency Constraint for Fine-grained Recognition

Siamese Net based Feature Learning for IDS

Self-Attentive Pyramid Network for Single Image De-raining

Human Centred Computing

Feature Fusion Based Deep Spatiotemporal Model for Violence Detection in Videos

Learning to Navigate in Human Environments via Deep Reinforcement Learning

An Effective Yawn Behavior Detection Method in Classroom

Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data

Development of Biomedical Corpus Enlargement Platform Using BERT for Bio-entity Recognition

A Generative Face Completion Method Based on Associative Memory

White-Box Target Attack for EEG-Based BCI Regression Problems

Human Centred Computing and Medicine

Real-time Guidewire Segmentation and Tracking in Endovascular Aneurysm Repair

Infra-slow Electroencephalogram Power is Associated with Reaction Time in Simple Discrimination Tasks

Classifying Speech Data in Parkinson's Disease Based on Class Probability Output Networks

ConvCaps: Multi-input capsule network for brain tumor classification

G-ResNet: Improved ResNet for brain tumor classification

Affinity Graph based End-to-End Deep Convolutional Networks for CT Hemorrhage Segmentation

On the Stability of a Pass-thought Security System in Different Brain States

Brain network decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE)

Hybrid Models

Accelerated training algorithms of general fuzzy min-max neural network using GPU for very high dimensional data

Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification

Evolving an Optimal Decision Template for Combining Classifiers

Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for A Flexible Joint Manipulator

Fuzzy Deep Neural Network for Classification of Overlapped Data

On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization

A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms

Fuzzy Bilinear Latent Canonical Correlation Projection for Feature Learning

Evolving Pictures in Image Transition Space

Improved Multi-objective Evolutionary Subspace Clustering

Network of Experts: Learning from evolving data streams through network-based ensembles

Deep Extremely Randomized Trees

International Workshop on Artificial Intelligence and Cybersecurity 2019

An advanced version of MDNet for visual tracking

Enhanced LSTM with Batch Normalization

Combating Threat-Alert Fatigue with Online Anomaly Detection using Isolation Forest.

Other Format:

Printed edition:

ISBN:

978-3-030-36708-4

9783030367084

Access Restriction:

Restricted for use by site license.