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Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 1618, 2020, Proceedings, Part III 1st ed. 2020 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 501 pages, height x width: 235x155 mm, weight: 783 g, 154 Illustrations, color; 77 Illustrations, black and white; XIV, 501 p. 231 illus., 154 illus. in color., 1 Paperback / softback
  • Sērija : Image Processing, Computer Vision, Pattern Recognition, and Graphics 12307
  • Izdošanas datums: 13-Oct-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 303060635X
  • ISBN-13: 9783030606350
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Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 1618, 2020, Proceedings, Part III 1st ed. 2020Palielināt
  • Formāts: Paperback / softback, 501 pages, height x width: 235x155 mm, weight: 783 g, 154 Illustrations, color; 77 Illustrations, black and white; XIV, 501 p. 231 illus., 154 illus. in color., 1 Paperback / softback
  • Sērija : Image Processing, Computer Vision, Pattern Recognition, and Graphics 12307
  • Izdošanas datums: 13-Oct-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 303060635X
  • ISBN-13: 9783030606350
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030606350.html
Keywords:
The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020.





The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.

Computing methodologies.- Machine learning.- Machine learning approaches.- Neural networks.- Biometrics Tracking.- Image segmentation.- Video segmentation.- Object detection.- Object recognition.- Computer vision.- Artificial intelligence.- Machine learning algorithms.