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Pattern Recognition and Computer Vision

6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part X

  • Conference proceedings
  • © 2024

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14434)

Included in the following conference series:

Conference proceedings info: PRCV 2023.

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About this book

The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023.


The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. 


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Keywords

Table of contents (40 papers)

  1. Neural Network and Deep Learning III

Editors and Affiliations

  • Nanjing University of Information Science and Technology, Nanjing, China

    Qingshan Liu

  • Xiamen University, Xiamen, China

    Hanzi Wang, Rongrong Ji

  • Beijing University of Posts and Telecommunications, Beijing, China

    Zhanyu Ma

  • Sun Yat-sen University, Guangzhou, China

    Weishi Zheng

  • Peking University, Beijing, China

    Hongbin Zha

  • Chinese Academy of Sciences, Beijing, China

    Xilin Chen, Liang Wang

Bibliographic Information

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