Neural Information Processing 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part III
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 onl...
| Other Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2021, 2021
|
| Edition: | 1st ed. 2021 |
| Series: | Theoretical Computer Science and General Issues
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
- Enhancing Dermoscopic Features Classification in Images Using Invariant Dataset Augmentation and Convolutional Neural Networks
- Ensembles of Randomized Neural Networks for Pattern-based Time Series Forecasting
- Grouped Echo State Network with Late Fusion for Speech Emotion Recognition
- Applications
- MPANet: Multi-level Progressive Aggregation Network for Crowd Counting
- AFLLC: A Novel Active Contour Model based on Adaptive Fractional Order Differentiation and Local Linearly Constrained Bias Field
- DA-GCN: A Dependency-Aware Graph Convolutional Network for Emotion Recognition in Conversations
- Semi-Supervised Learning with Conditional GANs for Blind Generated Image Quality Assessment
- Uncertainty-Aware Domain Adaptation for Action Recognition
- Free-Form Image Inpainting with Separable Gate Encoder-decoder Network
- How Much Do Synthetic Datasets Matter In Handwritten Text Recognition
- PCMO: Partial Classification from CNN-Based Model Outputs
- Multi-branch Fusion Fully Convolutional Network for Person Re-Identification
- Fast Organization of Objects Spatial Positions in Manipulator Space from Single RGB-D Camera
- EvoBA: An Evolution Strategy as a Strong Baseline for Black-Box Adversarial Attacks
- A Novel Oversampling Technique for Imbalanced Learning Based on SMOTE and Genetic Algorithm
- Dy-Drl2Op: Learning Heuristics for TSP on the Dynamic Graph via Deep Reinforcement Learning
- Multi-label classification of hyperspectral images based on label-specific feature fusion
- A Novel Multi-Scale Key-Point Detector Using Residual Dense Block and Coordinate Attention
- Alleviating Catastrophic Interference in Online Learning via Varying Scale of Backward Queried Data
- Construction and Reasoning for Interval-Valued EBRB Systems
- Theory and Applications of Natural Computing Paradigms
- BERTDAN: Question-Answer Dual Attention Fusion Networks With Pre-trained Models for Answer Selection
- Rethinking the Effectiveness of Selective Attention in Neural Networks
- An Attention Method to Introduce Prior Knowledge in Dialogue State Tracking
- Effect of Input Noise Dimension in GANs
- Wiper Arm Recognition using YOLOv4
- Context Aware Joint Modeling of Domain Classification, Intent Detection and Slot Filling with Zero-shot Intent Detection Approach
- Constrained Generative Model for EEG Signals Generation
- Top-Rank Learning Robust to Outliers
- Novel GAN Inversion Model with Latent Space Constraints for Face Reconstruction
- Edge Guided Attention Based Densely Connected Network for Single Image Super-Resolution
- An Agent-Based Market Simulator for Back-testing Deep Reinforcement Learning Based Trade Execution Strategies
- Looking beyond the haze: A Pyramid Fusion Approach
- DGCN-rs: a Dilated Graph Convolutional Networks Jointly Modelling Relation and Semantic for Multi-Event Forecasting
- Training Graph Convolutional Neural Network against Label Noise
- An LSTM-based Plagiarism Detection via Attention Mechanism anda Population-based Approach for Pre-Training Parameters with imbalanced Classes
- Brain-mimetic Kernel: A Kernel Constructed from Human fMRI Signals Enabling aBrain-mimetic Visual Recognition Algorithm
- Predominant Sense Acquisition with a Neural Random Walk Model
- Processing-response dependence on the on-chip readout positions in spin-wave reservoir computing
- Advances in deep and shallow machine learning algorithms for biomedical data and imaging
- A Multi-Task Learning Scheme for Motor Imagery Signal Classification
- An End-to-End Hemisphere Discrepancy Network for Subject-Independent Motor Imagery Classification
- Multi-domain Abdomen Image Alignment Based on Joint Network of Registration and Synthesis
- Coordinate Attention Residual Deformable U-Net for Vessel Segmentation
- Gated Channel Attention Network for Cataract Classification on AS-OCT Image
- Overcoming Data Scarcity for Coronary Vessel Segmentation Through Self-Supervised Pre-Training
- Self-Attention Long-Term Dependency Modelling in Electroencephalography Sleep Stage Prediction
- Cognitive Neurosciences
- A Novel Binary BCI Systems Based on Non-oddball Auditory and Visual Paradigms
- A Just-In-Time Compilation Approach for Neural Dynamics Simulation
- STCN-GR: Spatial-Temporal Convolutional Networks for Surface-Electromyography-Based Gesture Recognition
- Gradient descent learning algorithm based on spike selection mechanism for multilayer spiking neural networks
- Learning to Coordinate via Multiple Graph Neural Networks
- A Reinforcement Learning Approach for Abductive Natural Language Generation
- DFFCN: Dual Flow Fusion Convolutional Network for Micro Expression Recognition
- AUPro: Multi-label Facial Action Unit Proposal Generation for Sequence-level Analysis
- Deep kernelized network for fine-grained recognition
- Semantic Perception Swarm Policy with Deep Reinforcement Learning
- Reliable, Robust, and Secure Machine Learning Algorithms Open-Set Recognition with Dual Probability Learning