Structural, Syntactic, And Statistical Pattern Recognition: Joint Iapr International Workshop, S+sspr 2016, Mérida, Mexico, November 29 - December 2, ... (lecture Notes In Computer Science)
by Marco Loog /
2016 / English / PDF
104.1 MB Download
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.
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.