Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)

Yan, Wei Qi

ISBN 10: 3030610837 / ISBN 13: 9783030610838

Edité par Springer, 2021

A propos de cet article

New.

N° de réf. du vendeur ERICA79630306108376

Détails bibliographiques

• Titre: Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)
• Éditeur: Springer
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 3030610837
• ISBN à 13 chiffres: 9783030610838
• Reliure: Paperback
• État de l'article: New
• Type de livre: book

A propos de ce titre

Synopsis

1. Introduction.- 2. Deep Learning Platforms.- 3. CNN and RNN.- 4. Autoencoder and GAN.- 5. Reinforcement Learning.- 6. CapsNet and Manifold Learning.- 7. Boltzmann Machines.- 8. Transfer Learning and Ensemble Learning.

À propos de l?auteur

Dr. Wei Qi Yan received a doctorate degree of computer engineering from the Chinese Academy of Sciences, Beijing, China in 2001, he moved to the School of Computing (SoC), National University of Singapore, and worked as a Research Fellow, later as a regular faculty member from 2003 to 2005. In 2005, he joined the Columbia University in New York City, USA, as a Research Scholar. He moved to the University of California, Irvine USA in 2006. He joined the Queen's University Belfast (Russell Group UK), as a Lecturer in 2007 and moved to the Auckland University of Technology (AUT), New Zealand in 2011; he is the Director of Computer and Cyber Security (CCS) Research Group since 2011 and the Deputy Director of CeRV (Robotics & Vision) research centre since 2015, the Director of CeRV from 2019.

Dr. Yan has contributed to 13 granted research proposals. He has co-authored 13 research books as well as over 230 publications (J: 80+) with more than 2,900 Google citations, one of his research papers has been cited over 700 times. His publications have been accepted or appeared in the ACM and IEEE journals and conferences. Dr. Yan's research distinctions at AUT include deep learning, intelligent surveillance, currency security, visual cryptography, digital event computing, intelligent navigations, etc. Dr. Yan is a regular reviewer of Ph.D. theses of AUT, the Massey University, the University of Canterbury, the University of Auckland (UoA), New Zealand, and the Nanyang Technological University (NTU), Singapore.

Dr. Yan's services have included being a TPC member of all the top ACM and IEEE conferences in his research area, Track Chair of IEEE VCIP 2020 and IEEE ICME 2020, Publication Chair of IAPR ACPR 2019, Program Chair of IEEE AVSS 2018, General Chair of ISGV2021 and IWDW 2013, and Program Chair of WSVS 2015 and IWDCF 2015/2016/2017. Dr. Yan has delivered over 100 talks around the world, and his visit to the Chinese Academy of Sciences China was sponsoredby the Royal Society of New Zealand (RSNZ), Ministry of Science and Technology (MOST) China in 2013. He is an Adjunct Professor of the Chinese Academy of Sciences, China, with Ph.D. supervision. Dr. Yan was a Visiting Professor of the University of Auckland (UoA), the Massey University, and the National University of Singapore (NUS).

Dr. Yan is serving as the Editor-in-Chief (EiC) of the International Journal Digital Crime Forensics (IJDCF) from 2014 to 2019, now an Editor-inChief Emeritus; a Guest Editor of the Springer Transactions on Data Hiding and Multimedia Security (DHMS), a book reviewer of John Wiley and Sons, IGI global, and a proposal reviewer of Ministry of Business, Innovation, and Employment (MBIE) of New Zealand. He is also a member of the ACM, the Chair of ACM New Zealand chapter in Multimedia, a senior member of the IEEE, TC members of the IEEE, and a Fellow of the Higher Education Academy (FHEA), UK.

Dr. Wei Qi Yan is an Associate Professor with the Department of Computer Science at Auckland University of Technology, New Zealand. His other publications include the Springer books: Visual Cryptography for Image Processing and Security; Introduction to Intelligent Surveillance.