Formulating LLE using alignment technique

Pattern Recognition

Volumn 39, Issue 11, 2006, Pages 2233-2235

  Zhao, Deli ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

LLE; LTSA; Manifold learning; Nonlinear dimensionality reduction

Indexed keywords

ALIGNMENT; COMPUTATIONAL METHODS; LEARNING SYSTEMS; NONLINEAR SYSTEMS;

ALIGNMENT TECHNIQUE; MANIFOLD LEARNING; NONLINEAR DIMENSIONALITY REDUCTION;

NUMERICAL METHODS;

EID: 33746828214     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.05.007     Document Type: Article

References (5)

1. Roweis S.T., and Saul L.K. Nonlinear dimensionality reduction by locally linear embedding. Science 290 22 (2000) 2323-2326
2. Saul L.K., and Roweis S.T. Think globally, fit locally: unsupervised learning of low dimensional manifolds. J. Mach. Learning Res. 4 2 (2004) 119-155
3. Zhang Z.Y., and Zha H.Y. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment. SIAM J. Sci. Comput. 26 1 (2005) 313-338
4. H.Y. Zha, Z.Y. Zhang, Spectral analysis of alignment in manifold learning, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
5. 〈http://www.cs.toronto.edu/∼roweis/lle/〉.