Produktbild: Multi-faceted Deep Learning

Multi-faceted Deep Learning Models and Data

175,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.10.2022

Herausgeber

Jenny Benois-Pineau + weitere

Verlag

Springer

Seitenzahl

316

Maße (L/B/H)

23,5/15,5/1,8 cm

Gewicht

499 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-74480-9

Beschreibung

Portrait

Prof. Jenny Benois-Pineau is a full professor of Computer Science at the University Bordeaux. Her topics of interest include image/multimedia, artificial intelligence in multimedia and healthcare. She is the author and co-author of more than 200 papers in international journals, conference proceedings, books and book chapters. She is associated editor of Eurasip SPIC, ACM MTAP, senior associated editor JEI SPIE journals. She has organized workshops and special sessions at international conferences IEEE ICIP, ACM MM,... She has served in numerous program committees in international conferences: ACM MM, ACM ICMR, ACM CIVR, CBMI, IPTA, ACM MMM. She has been coordinator or leading researcher in EU – funded and French national research projects. She is a member of IEEE TC IVMSP. She has Knight of Academic Palms grade.

Dr. 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 Artificial Intelligence, Deep Learning, Distributed algorithms and systems, Graphs, Randomized Algorithms, and Security. He wrote one book and more than 80 research papers published in international journals and conference proceedings and he is involved in program committees and organization committees of international conferences. 

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.10.2022

Herausgeber

Verlag

Springer

Seitenzahl

316

Maße (L/B/H)

23,5/15,5/1,8 cm

Gewicht

499 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-74480-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Multi-faceted Deep Learning
  • 1. Introduction.- 2. Deep Neural Networks: Models and methods.- 3. Deep learning for semantic segmentation.- 4. Beyond Full Supervision in Deep Learning.- 5. Similarity Metric Learning.- 6. Zero-shot Learning with Deep Neural Networks for Object Recognition.- 7. Image and Video Captioning using Deep Architectures.- 8. Deep Learning in Video Compression Algorithms.- 9. 3D Convolutional Networks for Action Recognition: Application toSport Gesture Recognition.- 10. Deep Learning for Audio and Music.- 11. Explainable AI for Medical Imaging:Knowledge Matters.- 12. Improving Video Quality with Generative Adversarial Networks.- 13. Conclusion.