Temporal extension of Laplacian Eigenmaps for unsupervised dimensionality reduction of time series

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 161-164

  Lewandowski, M ^a   Martinez del Rincon, J ^a   Makris, D ^a   Nebel, J C ^a  

^a KINGSTON UNIVERSITY   (United Kingdom)

Author keywords

Dimensionality reduction; Human motion; Manifold learning; Temporal Laplacian Eigenmap; Time series

Indexed keywords

AUTOMATIC TUNING; BIDIRECTIONAL MAPPING; COMPUTATIONAL COSTS; COMPUTER VISION APPLICATIONS; DATA POINTS; DATA SETS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION METHOD; GENERALISATION; HUMAN MOTIONS; KEY PARAMETERS; LAPLACIAN EIGENMAPS; LAPLACIANS; LOW-DIMENSIONAL SPACES; MANIFOLD LEARNING; NEW APPROACHES; NONLINEAR DIMENSIONALITY REDUCTION; OBJECTIVE FUNCTIONS; TEMPORAL EXTENSIONS; TEMPORAL INFORMATION; TIME COHERENCES; TIME-SERIES DATA;

COMPUTER APPLICATIONS; COMPUTER VISION; FACE RECOGNITION; LAPLACE TRANSFORMS; TIME SERIES;

DATA REDUCTION;

EID: 78149481785     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.48     Document Type: Conference Paper

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