Neural Information Processing : 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part I / edited by Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto.

Format:

Book

Contributor:

Mantoro, Teddy, editor.

Series:

Theoretical Computer Science and General Issues, 2512-2029 ; 13108

Language:

English

Subjects (All):

Pattern recognition systems.

Machine learning.

Computer vision.

Computer engineering.

Computer networks.

Education--Data processing.

Education.

Automated Pattern Recognition.

Machine Learning.

Computer Vision.

Computer Engineering and Networks.

Computers and Education.

Local Subjects:

Automated Pattern Recognition.

Machine Learning.

Computer Vision.

Computer Engineering and Networks.

Computers and Education.

Physical Description:

1 online resource (719 pages)

Edition:

1st ed. 2021.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

Summary:

The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.

Contents:

Theory and Algorithms

Metric Learning Based Vision Transformer for Product Matching

Stochastic Recurrent Neural Network for Multistep Time Series Forecasting

Speaker Verification with Disentangled Self-Attention

Multi Modal Normalization

A Focally Discriminative Loss for Unsupervised Domain Adaptation

Automatic Drum Transcription with Label Augmentation using Convolutional Neural Networks

Adaptive Curriculum Learning for Semi-Supervised Segmentation of 3D CT-Scans

Genetic Algorithm and Distinctiveness Pruning in the Shallow Networks for VehicleX

Stack Multiple Shallow Autoencoders into A Strong One: A New Reconstruction-based Method to Detect Anomaly

Learning Discriminative Representation with Attention and Diversity for Large-scale Face Recognition

Multi-task Perceptual Occlusion Face Detection with Semantic Attention Network

RAIDU-Net: Image Inpainting via Residual Attention Fusion and Gated Information Distillation

Sentence Rewriting with Few-Shot Learningfor Document-Level Event Coreference Resolution

A Novel Metric Learning Framework for Semi-supervised Domain Adaptation

Generating Adversarial Examples by Distributed Upsampling

CPSAM: Channel and Position Squeeze Attention Module

A Multi-Channel Graph Attention Network for Chinese NER

GSNESR: A Global Social Network Embedding Approach for Social Recommendation

Classification Models for Medical Data with Interpretative Rules

Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning

Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing

MA-GAN: A Method Based on Generative Adversarial Network for Calligraphy Morphing

One-Stage Open Set Object Detection with Prototype Learning

Aesthetic-aware Recommender System for Online Fashion Products

DAFD: Domain Adaptation Framework for Fake News Detection

Document Image Classification Method based on Graph Convolutional Network

Continual Learning of 3D Point Cloud Generators

Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process

Generation of a Large-Scale Line Image Dataset with Ground Truth Texts from Page-Level Autograph Documents

DAP-BERT: Differentiable Architecture Pruning of BERT

Trash Detection On Water Channels

Tri-Transformer Hawkes Process: Three Heads are better than one

PhenoDeep: A deep Learning-based approach for detecting reproductive organs from digitized herbarium specimen images

Document-level Event Factuality Identification using Negation and Speculation Scope

Dynamic Network Embedding by Time-Relaxed Temporal Random Walk

Dual-band Maritime Ship Classification based on Multi-layer Convolutional Features and Bayesian Decision

Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring

Domain-Adaptation Person Re-Identification via Style Translation and Clustering

Multimodal Named Entity Recognition Via Co-attention-based Method with Dynamic Visual Concept Expansion

Ego Networks

Cross-modal based Person Re-Identification via Channel Exchange and adversarial Learning

SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs

Deep Neuroevolution: Training Neural Networks using a Matrix-free Evolution Strategy

Weighted P-Rank: A Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network

Clustering Friendly Dictionary Learning

Understanding Test-Time Augmentation

SphereCF: Sphere Embedding for Collaborative Filtering

Concordant Contrastive Learning for Semi-supervised Node Classification on Graph

Improving Shallow Neural Networks via Local and Global Normalization

Underwater Acoustic Target Recognition with Fusion Feature

Evaluating Data Characterization Measures for Clustering Problems in Meta-learning

ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-aware Supervision Information

Image Periodization for Convolutional NeuralNetworks

BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer's Disease

Triplet Mapping for Continuously Knowledge Distillation

A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection.

Other Format:

Print version: Mantoro, Teddy Neural Information Processing

ISBN:

3-030-92185-9