CHF 69.00

Pattern Recognition
41st DAGM German Conference, DAGM GCPR 2019, Dortmund, Germany, September 10-13, 2019, Proceedings

English · Paperback / Softback

Shipping usually within 4 to 7 working days

Description

Read more

This book constitutes the proceedings of the 41st DAGM German Conference on Pattern Recognition, DAGM GCPR 2019, held in Dortmund, Germany, in September 2019.
The 43 revised full papers presented were carefully reviewed and selected from 91 submissions. The German Conference on Pattern Recognition is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series. 

Product details

Assisted by Simone Frintrop (Editor), Gernot A. Fink (Editor), Xiaoyi Jiang (Editor), Simon Frintrop (Editor)
Publisher Springer, Berlin
 
Content Book
Product form Paperback / Softback
Publication date 01.01.2019
Subject Natural sciences, medicine, IT, technology > IT, data processing > Application software
 
EAN 9783030336752
ISBN 978-3-0-3033675-2
Pages 626
Illustrations XVI, 626 p. 357 illus., 220 illus. in color.
Dimensions (packing) 15.5 x 23.5 x 3.4 cm
Weight (packing) 961 g
 
Series Lecture Notes in Computer Science > 11824
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Subjects datamining, Maschinelles Sehen, Bildverstehen, Theoretische Informatik, Classification, Computervision, Semantics, Estimation, DeepLearning, ArtificialIntelligence, imagesegmentation, machinelearning, imagereconstruction, neuralnetworks, patternrecognition, BiomedicalImageAnalysis, statisticaldataanalysisandmodels, image/videoprocessing, computationalphotography
 

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.