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Computer Vision and Image Processing: 4th International Conference, CVIP 2019, Jaipur, India, September 2729, 2019, Revised Selected Papers, Part I 2020 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 435 pages, height x width: 235x155 mm, weight: 694 g, 172 Illustrations, color; 73 Illustrations, black and white; XVII, 435 p. 245 illus., 172 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1147
  • Izdošanas datums: 29-Mar-2020
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811540144
  • ISBN-13: 9789811540141
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Computer Vision and Image Processing: 4th International Conference, CVIP 2019, Jaipur, India, September 2729, 2019, Revised Selected Papers, Part I 2020 ed.Palielināt
  • Formāts: Paperback / softback, 435 pages, height x width: 235x155 mm, weight: 694 g, 172 Illustrations, color; 73 Illustrations, black and white; XVII, 435 p. 245 illus., 172 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1147
  • Izdošanas datums: 29-Mar-2020
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811540144
  • ISBN-13: 9789811540141
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789811540141.html
This two-volume set (CCIS 1147, CCIS 1148) constitutes the refereed proceedings of the 4th International Conference on Computer Vision and Image Processing. held in Jaipur, India, in September 2019. 

The 73 full papers and 10 short papers were carefully reviewed and selected from 202 submissions. The papers are organized according to the following topics:  
Part I: Biometrics;  Computer Forensic; Computer Vision; Dimension Reduction; Healthcare Information Systems; Image Processing; Image segmentation; Information Retrieval; Instance based learning; Machine Learning.
Part II:  Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and Privacy; Unsupervised Clustering. 

Biometrics.- Computer Forensic.- Computer Vision.- Dimension Reduction.- Healthcare Information Systems.- Image Processing.- Image segmentation.- Information Retrieval.- Instance based learning.- Machine Learning.