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Pattern Recognition: 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 2629, 2019, Revised Selected Papers, Part I 2020 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 931 pages, height x width: 235x155 mm, weight: 1442 g, 360 Illustrations, color; 67 Illustrations, black and white; XXV, 931 p. 427 illus., 360 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 12046
  • Izdošanas datums: 23-Feb-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030414035
  • ISBN-13: 9783030414030
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Pattern Recognition: 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 2629, 2019, Revised Selected Papers, Part I 2020 ed.Palielināt
  • Formāts: Paperback / softback, 931 pages, height x width: 235x155 mm, weight: 1442 g, 360 Illustrations, color; 67 Illustrations, black and white; XXV, 931 p. 427 illus., 360 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 12046
  • Izdošanas datums: 23-Feb-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030414035
  • ISBN-13: 9783030414030
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030414030.html
Keywords:

This two-volume set constitutes the proceedings of the 5th Asian Conference on ACPR 2019, held in Auckland, New Zealand, in November 2019.
The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: classification; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial learning and networks; computational photography; learning theory and optimization; applications, medical and robotics; computer vision and robot vision; pattern recognition and machine learning; multi-media and signal processing; and interaction.

Classification, Action and Video and Motion.- Object Detection and Anomaly Detection.- Segmentation, Grouping and Shape.- Face and Body and Biometrics.- Adversarial Learning and Networks.- Computational Photography.- Learning Theory and Optimization.- Applications, Medical and Robotics.- Computer Vision and Robot Vision.