Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Automated Machine Learning and Meta-Learning for Multimedia

BuchGebunden
224 Seiten
Englisch
Springererschienen am24.11.20211st ed. 2021
This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields.mehr
Verfügbare Formate
BuchGebunden
EUR160,49
BuchKartoniert, Paperback
EUR160,49
E-BookPDF1 - PDF WatermarkE-Book
EUR149,79

Produkt

KlappentextThis book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields.
Zusammenfassung
This is the first book that covers both AML and meta-learning

This book promotes the recent achievements on meta-learning

This book is targeted at introductory and intermediate audiences
Details
ISBN/GTIN978-3-030-88131-3
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2021
Erscheinungsdatum24.11.2021
Auflage1st ed. 2021
Seiten224 Seiten
SpracheEnglisch
IllustrationenXXVII, 224 p. 67 illus., 64 illus. in color.
Artikel-Nr.50078414

Inhalt/Kritik

Inhaltsverzeichnis
Automated Machine Learning.- Meta-learning.- Automated Machine Learning for Multimedia.- Meta-learning for Multimedia.- Future Research Directions.mehr

Schlagworte

Autor

Dr. Wenwu Zhu is currently a Professor of Computer Science Department of Tsinghua University and Vice Dean of National Research Center on Information Science and Technology, Prior to his current post, he was a Senior Researcher and Research Manager at Microsoft Research Asia. He was the Chief Scientist and Director at Intel Research China from 2004 to 2008. He worked at Bell Labs New Jersey as a Member of Technical Staff during 1996-1999. He served as the Editor-in-Chief for the IEEE Transactions on Multimedia (T-MM) from January 1, 2017 to December 31, 2019. He has been serving as the chair of the steering committee for IEEE T-MM and Vice EiC for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) since January 1, 2020. His current research interests are in the areas of multimedia big data and intelligence, and multimedia networking including edge computing. He received nine Best Paper Awards. He is an IEEE Fellow, AAAS Fellow, SPIE Fellow, and a member ofAcademia Europaea.
Dr.Xin Wang is currently an Assistant Professor at the Department of Computer Science and Technology, Tsinghua University. He got both of his Ph.D. and B.E degrees in Computer Science and Technology from Zhejiang University, China. He also holds a Ph.D. degree in Computing Science from Simon Fraser University, Canada. His research interests include multimedia intelligence, big data analysis and machine learning. He has published several high-quality research papers in top journals and conferences including TPAMI, ICML, KDD, WWW, SIGIR ACM Multimedia etc. He is the recipient of 2017 China Postdoctoral innovative talents supporting program. He receives the ACM China Rising Star Award in 2020.