TY - BOOK
T1 - Structural, Syntactic, and Statistical Pattern Recognition
T2 - Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings
A2 - Robles-Kelly, A.
A2 - Loog, Marco
A2 - Biggio, B.
A2 - Escolano, F.
A2 - Wilson, R
PY - 2016
Y1 - 2016
N2 - This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The 51 full papers presented were carefully reviewed and selected from 68 submissions. They are organized in the following topical sections: dimensionality reduction, manifold learning and embedding methods; dissimilarity representations; graph-theoretic methods; model selection, classification and clustering; semi and fully supervised learning methods; shape analysis; spatio-temporal pattern recognition; structural matching; text and document analysis.
AB - This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The 51 full papers presented were carefully reviewed and selected from 68 submissions. They are organized in the following topical sections: dimensionality reduction, manifold learning and embedding methods; dissimilarity representations; graph-theoretic methods; model selection, classification and clustering; semi and fully supervised learning methods; shape analysis; spatio-temporal pattern recognition; structural matching; text and document analysis.
KW - complex networks
KW - machine learning
KW - optimization
KW - semantic segmentation
KW - visualization
KW - artificial intelligence
KW - biometrics
KW - database query processing and optimization
KW - graph mining
KW - graph theory and discrete mathematics
KW - image classification
KW - information storage and retrieval
KW - information systems
KW - multi-label classification
KW - nonlinear embedding
KW - object tracking
KW - probabilistic inference problems
KW - programming techniques
KW - semi-supervised learning
KW - structural SV
U2 - 10.1007/978-3-319-49055-7
DO - 10.1007/978-3-319-49055-7
M3 - Book editing
SN - 978-3-319-49054-0
T3 - Lecture Notes in Computer Science
BT - Structural, Syntactic, and Statistical Pattern Recognition
PB - Springer
CY - Cham
ER -