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Structural, Syntactic, and Statistical Pattern Recognition

Structural, Syntactic, and Statistical Pattern Recognition

Authors
Publisher Springer Nature
Year 10/08/2018
Version eBook: Reflowable eTextbook (ePub)
Language English
ISBN 9783319977850
Categories Computing & information technology, Algorithms & data structures, Graphics programming, Artificial intelligence, Computer vision
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Book description

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods. 

Structural, Syntactic, and Statistical Pattern Recognition

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