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Advances in Visual Computing: 17th International Symposium, ISVC 2022, San Diego, CA, USA, October 35, 2022, Proceedings, Part I 1st ed. 2022 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 471 pages, height x width: 235x155 mm, weight: 765 g, 164 Illustrations, color; 12 Illustrations, black and white; XXX, 471 p. 176 illus., 164 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13598
  • Izdošanas datums: 11-Dec-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031207122
  • ISBN-13: 9783031207129
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  • Cena: 73,68 €*
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Advances in Visual Computing: 17th International Symposium, ISVC 2022, San Diego, CA, USA, October 35, 2022, Proceedings, Part I 1st ed. 2022Palielināt
  • Formāts: Paperback / softback, 471 pages, height x width: 235x155 mm, weight: 765 g, 164 Illustrations, color; 12 Illustrations, black and white; XXX, 471 p. 176 illus., 164 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13598
  • Izdošanas datums: 11-Dec-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031207122
  • ISBN-13: 9783031207129
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031207129.html
Keywords:
This two-volume set of LNCS 13598 and 13599 constitutes the refereed proceedings of the 17th International Symposium on Visual Computing, ISVC 2022, which was held in October 2022. The 61 papers presented in these volumes were carefully reviewed and selected from 110 submissions. They are organized in the following topical sections: 

Part I: deep learning I; visualization; object detection and recognition; deep learning II; video analysis and event recognition; computer graphics; ST: biomedical imaging techniques for cancer detection, diagnosis and management.

Part II: ST: neuro-inspired artificia intelligence; applications; segmentation and tracking; virtual reality; poster.
Deep Learning I.- Visualization.- Object Detection and
Recognition.- Deep Learning II.- Video Analysis and Event
Recognition.- Computer Graphics.- ST: Biomedical Imaging Techniques for
Cancer Detection, Diagnosis and Management.