De Aller-Bedste Bøger - over 12 mio. danske og engelske bøger
Levering: 1 - 2 hverdage

Document Analysis And Text Recognition: Benchmarking State-of-the-art Systems

Bag om Document Analysis And Text Recognition: Benchmarking State-of-the-art Systems

The compendium presents the latest results of the most prominent competitions held in the field of Document Analysis and Text Recognition. It includes a description of the participating systems and the underlying methods on one hand and the datasets used together with evaluation metrics on the other hand. This volume also demonstrates with examples, how to organize a competition and how to make it successful. It will be an indispensable handbook to the document image analysis community.

Vis mere
  • Sprog:
  • Ukendt
  • ISBN:
  • 9789813229266
  • Indbinding:
  • Hardback
  • Sideantal:
  • 304
  • Udgivet:
  • 24. april 2018
  • Størrelse:
  • 236x159x23 mm.
  • Vægt:
  • 580 g.
  • 8-11 hverdage.
  • 6. november 2024

Normalpris

Abonnementspris

- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding

Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.

Beskrivelse af Document Analysis And Text Recognition: Benchmarking State-of-the-art Systems

The compendium presents the latest results of the most prominent competitions held in the field of Document Analysis and Text Recognition. It includes a description of the participating systems and the underlying methods on one hand and the datasets used together with evaluation metrics on the other hand. This volume also demonstrates with examples, how to organize a competition and how to make it successful. It will be an indispensable handbook to the document image analysis community.

Brugerbedømmelser af Document Analysis And Text Recognition: Benchmarking State-of-the-art Systems



Find lignende bøger
Bogen Document Analysis And Text Recognition: Benchmarking State-of-the-art Systems findes i følgende kategorier: