Multi-view face recognition by nonlinear dimensionality reduction and generalized linear models

FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition

Volumn 2006, Issue , 2006, Pages 625-630

  Raytchev, Bisser ^a   Yoda, Ikushi ^a   Sakaue, Katsuhiko ^a  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

FRAMEWORK; GENERALIZED LINEAR MODELS (GLM); POSTERIOR PROBABILITIES;

HUMAN COMPUTER INTERACTION; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; OPTIMIZATION; PROBABILITY; REAL TIME SYSTEMS;

FACE RECOGNITION;

EID: 33750796084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FGR.2006.82     Document Type: Conference Paper

References (7)

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3. M. E. Tipping and D. Lowe, "Shadow targets: A novel algorithm for topographic projection by radial basis function network", In Proc. Int. Conf. Artificial Neural Networks, Vol. 440, 1997, pp. 7-12.
4. Bishop, C., Neural Networks for Pattern Recognition, Oxford University Press, 1995.
5. http://www.softopia.or.jp/rd/facedb/type/sample01.html
6. J. Tenenbaum, de Silva and J. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, 290, 2000, pp. 2319-2323.
7. S. Roweis and L.Saul, "Nonliear Dimensionality Reduction by locally linear embedding", Science, 290, 2000, pp. 2323-2326.