Multi-modal Hash Learning

Efficient Multimedia Retrieval and Recommendations
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Éditeur :

Springer

Paru le : 2023-08-04

This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology.  With the explosive growth of multimedia contents, multimedia retrieval is cu...
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Éditeur

Collection
n.c

Parution
2023-08-04

Pages
199 pages

EAN papier
9783031372902

Auteur(s) du livre


Lei Zhu, Ph.D. is a Professor in the School of Information Science and Engineering, Shandong Normal University. He received his B.Eng. and Ph.D. degrees from Wuhan University of Technology and Huazhong University Science and Technology, respectively. He was a Research Fellow at the University of Queensland (2016-2017). His research interests include large-scale multimedia content analysis and retrieval. Jingjing Li, Ph.D, is a Professor in the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC). He received his B.Eng., M.Sc. and Ph.D. degrees from UESTC. His research interests include domain adaptation and zero-shot learning.  Weili Guan received a master degree from National University of Singapore. After that, she joined Hewlett Packard Enterprise in Singapore as a Software Engineer and worked there for several years.  She is currently a PhD student with the Faculty of Information Technology, Monash University (Clayton Campus), Australia. Her research interests are multimedia computing and information retrieval. She has authored or co-authored more than 30 papers at first-tier conferences and journals, such as ACM MM, SIGIR, and IEEE TIP.

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EAN PDF
9783031372919
Prix
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Nombre pages copiables
1
Nombre pages imprimables
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Taille du fichier
9882 Ko
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9783031372919
Prix
42,19 €
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
29686 Ko

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