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Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part IV 2018 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 434 pages, height x width: 235x155 mm, weight: 688 g, 187 Illustrations, color; 124 Illustrations, black and white; XV, 434 p. 311 illus., 187 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11259
  • Izdošanas datums: 02-Nov-2018
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030033406
  • ISBN-13: 9783030033408
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Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part IV 2018 ed.Palielināt
  • Formāts: Paperback / softback, 434 pages, height x width: 235x155 mm, weight: 688 g, 187 Illustrations, color; 124 Illustrations, black and white; XV, 434 p. 311 illus., 187 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11259
  • Izdošanas datums: 02-Nov-2018
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030033406
  • ISBN-13: 9783030033408
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030033408.html
Keywords:
The four-volume set LNCS 11256, 11257, 11258, and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018.





The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections: Part I: Biometrics, Computer Vision Application. Part II: Deep Learning. Part III: Document Analysis, Face Recognition and Analysis, Feature Extraction and Selection, Machine Learning. Part IV: Object Detection and Tracking, Performance Evaluation and Database, Remote Sensing.   

Biometrics.- Computer Vision Application.- Deep Learning.- Document Analysis.- Face Recognition and Analysis.- Feature Extraction and Selection.- Machine Learning.- Object Detection and Tracking.- Performance Evaluation and Database.- Remote Sensing.