M. Black and A. Jepson, EigenTracking: Robust matching and tracking of articulated objects using a view-based representation, International Journal of Computer Vision, vol.26, issue.1, pp.63-84, 1998.
DOI : 10.1007/BFb0015548

A. Dempster, N. Laird, and D. Rubin, Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, Series B (Methodological), vol.1, issue.39, pp.1-38, 1977.

B. Frey and N. Jojic, Transformation-invariant clustering using the EM algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.1, pp.1-17, 2003.
DOI : 10.1109/TPAMI.2003.1159942
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.1472

G. Hinton, P. Dayan, and M. Revow, Modeling the manifolds of images of handwritten digits, IEEE Transactions on Neural Networks, vol.8, issue.1, pp.65-74, 1997.
DOI : 10.1109/72.554192

N. Jojic, N. Petrovic, B. Frey, and T. Huang, Transformed hidden Markov models: estimating mixture models of images and inferring spatial transformations in video sequences, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2000.
DOI : 10.1109/CVPR.2000.854728

A. Kannan, N. Jojic, and B. Frey, Fast transformationinvariant component analysis (or factor analysis), Advances in Neural Information Processing Systems (NIPS), 2003.

Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, Gradientbased learning applied to document recognition, Proceedings of the IEEE, pp.2278-2324, 1998.

A. Schein, L. Saul, and L. Ungar, A generalized linear model for principal component analysis of binary data, Proc. Int. Workshop on Artificial Intelligence and Statistics, pp.14-21, 2003.

M. Tipping, Probabilistic visualisation of high-dimensional binary data, Advances in Neural Information Processing Systems (NIPS), 1999.

M. Tipping and C. Bishop, Mixtures of Probabilistic Principal Component Analyzers, Neural Computation, vol.2, issue.1, pp.443-483, 1999.
DOI : 10.1007/BF00162527

M. Turk and A. Pentland, Eigenfaces for Recognition, Journal of Cognitive Neuroscience, vol.10, issue.9, pp.71-86, 1991.
DOI : 10.1007/BF00239352

J. Wang and E. Adelson, Layered representation for motion analysis, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp.361-366, 1993.
DOI : 10.1109/CVPR.1993.341105

G. Wolberg and S. Zokai, Robust image registration using log-polar transform, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), pp.493-496, 2000.
DOI : 10.1109/ICIP.2000.901003
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.1451

Z. Zivkovic and F. Der-heijden, Efficient adaptive density estimation per image pixel for the task of background subtraction, Pattern Recognition Letters, vol.27, issue.7, pp.773-780, 2006.
DOI : 10.1016/j.patrec.2005.11.005