Investigating LLE eigenface on pose and face identification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3972 LNCS, Issue , 2006, Pages 134-139

  Pang, Shaoning ^a   Kasabov, Nikola ^a  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; EMBEDDED SYSTEMS; IMAGE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

DISCRIMINATION; EIGENFACE; FACE IDENTITY RECOGNITION; LOCAL LINEAR EMBEDDING (LLE);

FACE RECOGNITION;

EID: 33745904132     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11760023_21     Document Type: Conference Paper

References (5)

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2. Roweis, S. T. and Saul, L.: Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science 290(5500) (2000) 2323-2326.
3. Saul, L. K. and Roweis, S. T.:Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds. Journal of Machine Learning Research 4 (2003) 119-155.
4. Saul, L. K. and Roweis, S. T.: An Introduction to Locally Linear Embedding. Report at AT&T labs -Research, 2000.
5. Kim, M., Kim, D., Bang, S. and Lee, S.: Face Recognition Descriptor Using the Embedded HMM with the 2nd-order Block-specific Eigenvectors.?ISO/IEC JTC1/SC21/WG11/M7997, Jeju, March 2002.