Cantitate/Preț
Produs

Document Analysis and Recognition - ICDAR 2023: Lecture Notes in Computer Science, cartea 14192

Editat de Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi
en Limba Engleză Paperback – 19 aug 2023
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations.
The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.

Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (6) 72807 lei  6-8 săpt.
  Springer – 19 aug 2023 72807 lei  6-8 săpt.
  Springer – 19 aug 2023 79811 lei  6-8 săpt.
  Springer – 19 aug 2023 96471 lei  6-8 săpt.
  Springer – 19 aug 2023 96697 lei  6-8 săpt.
  Springer – 19 aug 2023 96985 lei  6-8 săpt.
  Springer – 19 aug 2023 140605 lei  6-8 săpt.

Din seria Lecture Notes in Computer Science

Preț: 72807 lei

Preț vechi: 91009 lei
-20%

Puncte Express: 1092

Preț estimativ în valută:
12876 14862$ 11128£

Carte tipărită la comandă

Livrare economică 01-15 mai


Specificații

ISBN-13: 9783031417306
ISBN-10: 3031417305
Pagini: 192
Ilustrații: XVIII, 173 p. 67 illus., 66 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.3 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Graphics Recognition.- Document Analysis and Recognition.- Frontiers in Handwriting Recognition.- Document Analysis and Systems.- Document Analysis Systems.- Document Layout and Parsing.-  Document Information Extraction, Handwriting Recognition.- Scene Text Detection and Recognition.- Document Image Processing.- Historical Document Analysis.- NLP for Document Understanding.- Graphics.-  Table, Chart and Math Recognition.