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Neural information processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings. Part I / Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 12532. | LNCS sublibrary. SL 1, Theoretical computer science and general issues.Publication details: Cham : Springer, 2020.Description: 1 online resource (834 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030638306
  • 3030638308
Other title:
  • ICONIP 2020
Subject(s): Genre/Form: Additional physical formats: Print version:: Neural Information Processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I.DDC classification:
  • 006.4
LOC classification:
  • Q337.5 .N48 2020
Online resources:
Contents:
Intro -- Preface -- Organization -- Contents -- Part I -- Human-Computer Interaction -- A Genetic Feature Selection Based Two-Stream Neural Network for Anger Veracity Recognition -- 1 Introduction -- 2 Method -- 2.1 Dataset -- 2.2 Network Architecture -- 2.3 Two-Stream Architecture -- 2.4 Data Pre-processing and Feature Selection -- 3 Experiments and Discussions -- 3.1 Experiment Settings -- 3.2 Baseline Model -- 3.3 Experiments on GFS and Two-Stream Architecture -- 3.4 Discussion -- 4 Conclusion and Future Work -- References
An Efficient Joint Training Framework for Robust Small-Footprint Keyword Spotting -- 1 Introduction -- 2 System Description -- 2.1 Masking-Based Speech Enhancement Method -- 2.2 Feature Transformation Block -- 2.3 Keyword Spotting System -- 3 Experiments and Results -- 3.1 Experimental Settings -- 3.2 Results -- 4 Conclusions -- References -- Hierarchical Interactive Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots -- 1 Introduction -- 2 Related Work -- 3 Hierarchical Interactive Matching Network -- 3.1 Task Description -- 3.2 Model Overview
3.3 Multi-level Attention Representation -- 3.4 Two-Level Hierarchical Interactive Matching -- 3.5 Aggregation -- 4 Experiments -- 4.1 Dataset -- 4.2 Evaluation Metric -- 4.3 Baseline Models -- 4.4 Experiment Settings -- 4.5 Experiment Results -- 4.6 Discussions -- 5 Conclusion -- References -- Investigation of Effectively Synthesizing Code-Switched Speech Using Highly Imbalanced Mix-Lingual Data -- 1 Introduction -- 2 Related Work -- 2.1 Data Sets for the CS TTS -- 2.2 Text Representation for CS TTS -- 3 Proposed Method -- 3.1 General Framework -- 3.2 CS Front-End -- 3.3 Synthesis Module
4 Data Description -- 5 Experiments -- 5.1 Input Representations -- 5.2 Experimental Setup -- 5.3 Experimental Results -- 6 Conclusion -- References -- Image Processing and Computer Vision -- A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection -- 1 Introduction -- 2 Related Work -- 2.1 Non-deep Learning Algorithms -- 2.2 Deep Learning Algorithms -- 3 Methodology -- 3.1 FusionNet -- 3.2 The Loss Function -- 4 Experiments -- 4.1 The Multi-modal Dataset -- 4.2 Experimental Results -- 5 Conclusion -- References -- A Hybrid Self-Attention Model for Pedestrians Detection -- 1 Introduction
2 Related Work -- 2.1 Pedestrian Detection -- 2.2 Attention Mechanism -- 3 Proposed Method -- 3.1 Revisiting the CSP Detector -- 3.2 Channel Attention -- 3.3 Spatial Attention -- 3.4 Hybrid Attention Fusion Strategy -- 4 Experiments -- 4.1 Dataset and Evaluation Metrics -- 4.2 Ablation Study -- 4.3 Comparison with State of the Arts -- 5 Conclusion -- References -- DF-PLSTM-FCN: A Method for Unmanned Driving Based on Dual-Fusions and Parallel LSTM-FCN -- 1 Introduction -- 2 Related Work -- 3 DF-PLSTM-FCN -- 3.1 Driving Model -- 3.2 Network Structure -- 3.3 Feature Fusion -- 3.4 Decision Fusion
Summary: The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 187 full papers presented were carefully reviewed and selected from 618 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 12532, is organized in topical sections on human-computer interaction; image processing and computer vision; natural language processing.
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Print version record.

The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 187 full papers presented were carefully reviewed and selected from 618 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 12532, is organized in topical sections on human-computer interaction; image processing and computer vision; natural language processing.

Intro -- Preface -- Organization -- Contents -- Part I -- Human-Computer Interaction -- A Genetic Feature Selection Based Two-Stream Neural Network for Anger Veracity Recognition -- 1 Introduction -- 2 Method -- 2.1 Dataset -- 2.2 Network Architecture -- 2.3 Two-Stream Architecture -- 2.4 Data Pre-processing and Feature Selection -- 3 Experiments and Discussions -- 3.1 Experiment Settings -- 3.2 Baseline Model -- 3.3 Experiments on GFS and Two-Stream Architecture -- 3.4 Discussion -- 4 Conclusion and Future Work -- References

An Efficient Joint Training Framework for Robust Small-Footprint Keyword Spotting -- 1 Introduction -- 2 System Description -- 2.1 Masking-Based Speech Enhancement Method -- 2.2 Feature Transformation Block -- 2.3 Keyword Spotting System -- 3 Experiments and Results -- 3.1 Experimental Settings -- 3.2 Results -- 4 Conclusions -- References -- Hierarchical Interactive Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots -- 1 Introduction -- 2 Related Work -- 3 Hierarchical Interactive Matching Network -- 3.1 Task Description -- 3.2 Model Overview

3.3 Multi-level Attention Representation -- 3.4 Two-Level Hierarchical Interactive Matching -- 3.5 Aggregation -- 4 Experiments -- 4.1 Dataset -- 4.2 Evaluation Metric -- 4.3 Baseline Models -- 4.4 Experiment Settings -- 4.5 Experiment Results -- 4.6 Discussions -- 5 Conclusion -- References -- Investigation of Effectively Synthesizing Code-Switched Speech Using Highly Imbalanced Mix-Lingual Data -- 1 Introduction -- 2 Related Work -- 2.1 Data Sets for the CS TTS -- 2.2 Text Representation for CS TTS -- 3 Proposed Method -- 3.1 General Framework -- 3.2 CS Front-End -- 3.3 Synthesis Module

4 Data Description -- 5 Experiments -- 5.1 Input Representations -- 5.2 Experimental Setup -- 5.3 Experimental Results -- 6 Conclusion -- References -- Image Processing and Computer Vision -- A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection -- 1 Introduction -- 2 Related Work -- 2.1 Non-deep Learning Algorithms -- 2.2 Deep Learning Algorithms -- 3 Methodology -- 3.1 FusionNet -- 3.2 The Loss Function -- 4 Experiments -- 4.1 The Multi-modal Dataset -- 4.2 Experimental Results -- 5 Conclusion -- References -- A Hybrid Self-Attention Model for Pedestrians Detection -- 1 Introduction

2 Related Work -- 2.1 Pedestrian Detection -- 2.2 Attention Mechanism -- 3 Proposed Method -- 3.1 Revisiting the CSP Detector -- 3.2 Channel Attention -- 3.3 Spatial Attention -- 3.4 Hybrid Attention Fusion Strategy -- 4 Experiments -- 4.1 Dataset and Evaluation Metrics -- 4.2 Ablation Study -- 4.3 Comparison with State of the Arts -- 5 Conclusion -- References -- DF-PLSTM-FCN: A Method for Unmanned Driving Based on Dual-Fusions and Parallel LSTM-FCN -- 1 Introduction -- 2 Related Work -- 3 DF-PLSTM-FCN -- 3.1 Driving Model -- 3.2 Network Structure -- 3.3 Feature Fusion -- 3.4 Decision Fusion

Online resource; title from PDF title page (SpringerLink, viewed February 3, 2021).

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