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Image Analysis and Recognition: 16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 2729, 2019, Proceedings, Part II 2019 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 487 pages, height x width: 235x155 mm, weight: 777 g, 169 Illustrations, color; 42 Illustrations, black and white; XXII, 487 p. 211 illus., 169 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11663
  • Izdošanas datums: 03-Aug-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030272710
  • ISBN-13: 9783030272715
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Image Analysis and Recognition: 16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 2729, 2019, Proceedings, Part II 2019 ed.Palielināt
  • Formāts: Paperback / softback, 487 pages, height x width: 235x155 mm, weight: 777 g, 169 Illustrations, color; 42 Illustrations, black and white; XXII, 487 p. 211 illus., 169 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11663
  • Izdošanas datums: 03-Aug-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030272710
  • ISBN-13: 9783030272715
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030272715.html
Keywords:
This two-volume set LNCS 11662 and 11663 constitutes the refereed proceedings of the 16th International Conference on Image Analysis and Recognition, ICIAR 2019, held in Waterloo, ON, Canada, in August 2019.





The 58 full papers presented together with 24 short and 2 poster papers were carefully reviewed and selected from 142 submissions. The papers are organized in the following topical sections: Image Processing; Image Analysis; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and Recognition for Automotive Industry; Adaptive Methods for Ultrasound Beamforming and Motion Estimation.

Image Processing; Image Analysis; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and Recognition for Automotive Industry; Adaptive Methods for Ultrasound Beamforming and Motion Estimation.