Structural, Syntactic, and Statistical Pattern Recognition
Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, Proceedings
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Beschreibung
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.
Autor*in
Xiao Bai
Themen in »Structural, Syntactic, and Statistical Pattern Recognition«
artificial intelligence clustering clustering algorithms graph theory graphic methods image processing image reconstruction image segmentation neural networks pattern recognition semantics Support Vector Machines (SVM) machine learning structural matching algorithm analysis and problem complexity