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000958856 1112_ $$aICONIP (Conference)$$n(27th :$$d2020 :$$cBangkok, Thailand)
000958856 24510 $$aNeural information processing :$$b27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings.$$nPart I /$$cHaiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King (eds.).
000958856 2463_ $$aICONIP 2020
000958856 260__ $$aCham :$$bSpringer,$$c2020.
000958856 300__ $$a1 online resource (834 pages).
000958856 336__ $$atext$$btxt$$2rdacontent
000958856 337__ $$acomputer$$bc$$2rdamedia
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000958856 4901_ $$aLecture Notes in Computer Science ;$$v12532
000958856 4901_ $$aLNCS sublibrary, SL 1, Theoretical computer science and general issues
000958856 5050_ $$aIntro -- Preface -- Organization -- Contents -- Part I -- Human-Computer Interaction -- A Genetic Feature Selection Based Two-Stream Neural Network for Anger Veracity Recognition -- 1 Introduction -- 2 Method -- 2.1 Dataset -- 2.2 Network Architecture -- 2.3 Two-Stream Architecture -- 2.4 Data Pre-processing and Feature Selection -- 3 Experiments and Discussions -- 3.1 Experiment Settings -- 3.2 Baseline Model -- 3.3 Experiments on GFS and Two-Stream Architecture -- 3.4 Discussion -- 4 Conclusion and Future Work -- References
000958856 5058_ $$aAn 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
000958856 5058_ $$a3.3 Multi-level Attention Representation -- 3.4 Two-Level Hierarchical Interactive Matching -- 3.5 Aggregation -- 4 Experiments -- 4.1 Dataset -- 4.2 Evaluation Metric -- 4.3 Baseline Models -- 4.4 Experiment Settings -- 4.5 Experiment Results -- 4.6 Discussions -- 5 Conclusion -- References -- Investigation of Effectively Synthesizing Code-Switched Speech Using Highly Imbalanced Mix-Lingual Data -- 1 Introduction -- 2 Related Work -- 2.1 Data Sets for the CS TTS -- 2.2 Text Representation for CS TTS -- 3 Proposed Method -- 3.1 General Framework -- 3.2 CS Front-End -- 3.3 Synthesis Module
000958856 5058_ $$a4 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
000958856 5058_ $$a2 Related Work -- 2.1 Pedestrian Detection -- 2.2 Attention Mechanism -- 3 Proposed Method -- 3.1 Revisiting the CSP Detector -- 3.2 Channel Attention -- 3.3 Spatial Attention -- 3.4 Hybrid Attention Fusion Strategy -- 4 Experiments -- 4.1 Dataset and Evaluation Metrics -- 4.2 Ablation Study -- 4.3 Comparison with State of the Arts -- 5 Conclusion -- References -- DF-PLSTM-FCN: A Method for Unmanned Driving Based on Dual-Fusions and Parallel LSTM-FCN -- 1 Introduction -- 2 Related Work -- 3 DF-PLSTM-FCN -- 3.1 Driving Model -- 3.2 Network Structure -- 3.3 Feature Fusion -- 3.4 Decision Fusion
000958856 506__ $$aAccess limited to authorized users.
000958856 520__ $$aThe three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually.The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 12532, is organized in topical sections on human-computer interaction; image processing and computer vision; natural language processing.
000958856 588__ $$aDescription based on print version record.
000958856 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 3, 2021).
000958856 650_0 $$aNeural networks (Computer science)$$vCongresses.
000958856 650_0 $$aPattern perception.
000958856 650_0 $$aMachine learning.
000958856 650_0 $$aComputers.
000958856 650_0 $$aApplication software.
000958856 7001_ $$aYang, Haiqin.
000958856 7001_ $$aPasupa, Kitsuchart.
000958856 7001_ $$aLeung, Chi Sing.
000958856 7001_ $$aKwok, James$$c(Professor of Computer Science and Engineering)
000958856 7001_ $$aChan, Jonathan H.
000958856 7001_ $$aKing, Irwin,$$d1961-
000958856 77608 $$iPrint version:$$aYang, Haiqin$$tNeural Information Processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I$$dCham : Springer International Publishing AG,c2020$$z9783030638290
000958856 830_0 $$aLecture notes in computer science ;$$v12532.
000958856 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues.
000958856 852__ $$bebk
000958856 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-63830-6$$zOnline Access$$91397441.1
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