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Pattern Recognition and ­Computer Vision
First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part I (Lecture Notes in Computer Science)
By Jian-Huang Lai (Edited by), Cheng-Lin Liu (Edited by), Xilin Chen (Edited by), Jie Zhou (Edited by)

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Format
Paperback, 589 pages
Published
Switzerland, 1 November 2018

The four-volume set LNCS 11256, 11257, 11258, and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018.





The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections:

Part I: Biometrics, Computer Vision Application. Part II: Deep Learning. Part III: Document Analysis, Face Recognition and Analysis, Feature Extraction and Selection, Machine Learning. Part IV: Object Detection and Tracking, Performance Evaluation and Database, Remote Sensing.

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Our Price
£45.66
Ships from UK Estimated delivery date: 14th Apr - 16th Apr from UK

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Product Description

The four-volume set LNCS 11256, 11257, 11258, and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018.





The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections:

Part I: Biometrics, Computer Vision Application. Part II: Deep Learning. Part III: Document Analysis, Face Recognition and Analysis, Feature Extraction and Selection, Machine Learning. Part IV: Object Detection and Tracking, Performance Evaluation and Database, Remote Sensing.

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Product Details
EAN
9783030033972
ISBN
303003397X
Age Range
Other Information
212 Illustrations, color; 129 Illustrations, black and white; XVII, 589 p. 341 illus., 212 illus. in color.
Dimensions
23.4 x 15.6 x 3.1 centimeters (2.02 kg)

Table of Contents

Biometrics.- Computer Vision Application.- Deep Learning.- Document Analysis.- Face Recognition and Analysis.- Feature Extraction and Selection.- Machine Learning.- Object Detection and Tracking.- Performance Evaluation and Database.- Remote Sensing.

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