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Pattern recognition and computer vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, proceedings. Part XII / Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu, editors.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 15042.Publisher: Singapore : Springer, [2025]Copyright date: ©2025Description: 1 online resource (xiv, 583 pages) : illustrations (chiefly color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819788583
  • 9819788587
Other title:
  • PRCV 2024
Subject(s): Genre/Form: DDC classification:
  • 006.4 23/eng/20241105
LOC classification:
  • TK7882.P3
Online resources: Summary: This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Holdings
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Conference proceedings.

Includes author index.

This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.

Online resource; title from PDF title page (SpringerLink, viewed November 5, 2024).

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