Deep Learning in Mining of Visual Content (häftad)
Fler böcker inom
Format
Häftad (Paperback / softback)
Språk
Engelska
Serie
SpringerBriefs in Computer Science
Antal sidor
110
Utgivningsdatum
2020-01-23
Förlag
Springer Nature Switzerland AG
Dimensioner
234 x 156 x 7 mm
Vikt
191 g
ISBN
9783030343750

Deep Learning in Mining of Visual Content

av Akka Zemmari, Jenny Benois-Pineau
Häftad,  Engelska, 2020-01-23
670
Köp
Spara som favorit
  • Skickas från oss inom 10-15 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Deep Learning in Mining of Visual Content Kan tyvärr inte längre levereras innan julafton.
Köp ett presentkort istället.
Finns även som
Visa alla 1 format & utgåvor
This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning.
Visa hela texten

Passar bra ihop

  1. Deep Learning in Mining of Visual Content
  2. +
  3. Risks and Security of Internet and Systems

De som köpt den här boken har ofta också köpt Risks and Security of Internet and Systems av Akka Zemmari, Mohamed Mosbah, Nora Cuppens-Boulahia, Frédéric Cuppens, Frederic Cuppens (häftad).

Köp båda 2 för 1234 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

Akka Zemmari, Jenny Benois-Pineau

Övrig information

Akka Zemmari has received his Ph.D. degree from the University of Bordeaux 1, France, in 2000. He is an associate professor in computer science since 2001 at University of Bordeaux, France. His research interests include machine and deep learning, randomized algorithms and distributed algorithms and systems. Jenny Benois-Pineau is a full professor of Computer science at the University Bordeaux and chair of Video Analysis and Indexing research group in Image and Sound Department of LABRI UMR 58000 Université Bordeaux/CNRS/IPB-ENSEIRB. She obtained her PhD degree in Signals and Systems in Moscou and her Habilitation à Diriger la Recherche in Computer Science and Image Processing from University of Nantes, France. Her topics of interest include image and video analysis and indexing, motion analysis and visual content interpretation with machine learning approaches. She is the author and co-author of more than 180 papers in international journals, conference proceedings, book chapters, co-editor of three books. She has tutored an co-tutored 26 PhD students. She is associated editor of EURASIP Signal Processing:Image Communication, Elsevier, Multimedia Tools and applications, Springer, and SPIE Journal of Electronic Imaging journals. She has served on numerous program committees of international conferences of IEEE, ACM and as an expert for international and national research bodies.¿ She is elected IEEE TC IVMSP member for the period of 2018-2020 and is Knight of Academic Palms Order.

Du kanske gillar