Neural Information Processing: 27th International Conference, ICONIP 2020, Proceedings, Part III

Haiqin Yang; Kitsuchart Pasupa; Andrew Chi Sing  Leung; James T. Kwok; Jonathan H.   Chan; Irwin King

doi:10.1007/978-3-030-63836-8

Neural Information Processing: 27th International Conference, ICONIP 2020, Proceedings, Part III

Haiqin Yang (Editor), Kitsuchart Pasupa (Editor), Andrew Chi Sing Leung (Editor), James T. Kwok (Editor), Jonathan H. Chan (Editor), Irwin King (Editor)

Department of Electrical Engineering

Research output: Scholarly Books, Monographs, Reports and Case Studies › RGC 14 - Edited book (Editor)

Original language	English
Publisher	Springer, Cham
Number of pages	643
Volume	Part III
ISBN (Electronic)	978-3-030-63836-8
ISBN (Print)	978-3-030-63835-1
DOIs	https://doi.org/10.1007/978-3-030-63836-8
Publication status	Published - Nov 2020
Event	27th International Conference on Neural Information Processing (ICONIP 2020) - Virtual, Bangkok, Thailand Duration: 18 Nov 2020 → 22 Nov 2020 https://www.apnns.org/ICONIP2020/

Publication series

Name	Lecture Notes in Computer Science
Volume	12534
ISSN (Print)	0302-9743

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Month information for this publication is provided by the author(s) concerned.

Research Keywords

artificial intelligence
computer networks
theory of computation
design and analysis of algorithms
mathematical optimization
deep learning
education
engineering
image analysis
image processing
information retrieval
theory and algorithms for application domains
machine learning
network architecture
network protocols
neural networks
pattern recognition
signal processing

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Cite this

@book{e1dea7ead94a462186e97037b9348d1c,

title = "Neural Information Processing: 27th International Conference, ICONIP 2020, Proceedings, Part III",

keywords = "artificial intelligence, computer networks, theory of computation, design and analysis of algorithms, mathematical optimization, deep learning, education, engineering, image analysis, image processing, information retrieval, theory and algorithms for application domains, machine learning, network architecture, network protocols, neural networks, pattern recognition, signal processing",

editor = "Haiqin Yang and Kitsuchart Pasupa and Leung, {Andrew Chi Sing} and Kwok, {James T.} and Chan, {Jonathan H.} and Irwin King",

note = "Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s). Month information for this publication is provided by the author(s) concerned.; 27th International Conference on Neural Information Processing (ICONIP 2020) ; Conference date: 18-11-2020 Through 22-11-2020",

year = "2020",

month = nov,

doi = "10.1007/978-3-030-63836-8",

language = "English",

isbn = "978-3-030-63835-1",

volume = "Part III",

series = "Lecture Notes in Computer Science",

publisher = "Springer, Cham",

url = "https://www.apnns.org/ICONIP2020/",

}

Neural Information Processing: 27th International Conference, ICONIP 2020, Proceedings, Part III. / Yang, Haiqin (Editor); Pasupa, Kitsuchart (Editor); Leung, Andrew Chi Sing (Editor) et al.
Springer, Cham, 2020. 643 p. (Lecture Notes in Computer Science; Vol. 12534).

Research output: Scholarly Books, Monographs, Reports and Case Studies › RGC 14 - Edited book (Editor)

TY - BOOK

T1 - Neural Information Processing

T2 - 27th International Conference on Neural Information Processing (ICONIP 2020)

A2 - Yang, Haiqin

A2 - Pasupa, Kitsuchart

A2 - Leung, Andrew Chi Sing

A2 - Kwok, James T.

A2 - Chan, Jonathan H.

A2 - King, Irwin

N1 - Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s). Month information for this publication is provided by the author(s) concerned.

PY - 2020/11

Y1 - 2020/11

KW - artificial intelligence

KW - computer networks

KW - theory of computation

KW - design and analysis of algorithms

KW - mathematical optimization

KW - deep learning

KW - education

KW - engineering

KW - image analysis

KW - image processing

KW - information retrieval

KW - theory and algorithms for application domains

KW - machine learning

KW - network architecture

KW - network protocols

KW - neural networks

KW - pattern recognition

KW - signal processing

U2 - 10.1007/978-3-030-63836-8

DO - 10.1007/978-3-030-63836-8

M3 - RGC 14 - Edited book (Editor)

SN - 978-3-030-63835-1

VL - Part III

T3 - Lecture Notes in Computer Science

BT - Neural Information Processing

PB - Springer, Cham

Y2 - 18 November 2020 through 22 November 2020

ER -