On sparsity and overcompleteness in image models

Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference

Volumn , Issue , 2008, Pages

  Berkes, Pietro ^a   Turner, Richard ^a   Sahani, Maneesh ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); IMAGE CODING;

BAYESIAN MODEL SELECTION; CODING MODELS; COMPUTATIONAL MODELLING; IMAGE MODELING; MODEL SELECTION METHODS; OVER-COMPLETE; SPARSE CODING; SPARSE REPRESENTATION; STUDENT-T PRIORS; VISUAL CORTEXES;

BAYESIAN NETWORKS;

EID: 85161971766     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. B.A. Olshausen and D.J. Field. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381(6583):607-609, 1996. (Pubitemid 26177476)
2. B.A. Olshausen and D.J. Field. Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research, 37:3311-3325, 1997. (Pubitemid 27493805)
3. Y.W Teh, M. Welling, S. Osindero, and G.E. Hinton. Energy-based models for sparse overcomplete representations. Journal of Machine Learning Research, 4:1235-1260, 2003.
4. A.J. Bell and T.J. Sejnowski. The 'independent components' of natural scenes are edge filters. Vision Research, 37(23):3327-3338, 1997. (Pubitemid 27493806)
5. S. Osindero,M.Welling, and G.E. Hinton. Topographic product models applied to natural scene statistics. Neural Computation, 18:381-344, 2006.
6. D.J.C. McKay. Bayesian interpolation. Neural Comput, 4(3):415-447, 1992.
7. C.M. Bishop. Variational principal components. In ICANN 1999 Proceedings, pages 509-514, 1999.
8. M.J. Beal. Variational Algorithms for Approximate Bayesian Inference. PhD thesis, Gatsby Computational Neuroscience Unit, University College London, 2003.
9. R.M. Neal. Annealed importance sampling. Statistics and Computing, 11:125-139, 2001. (Pubitemid 33638185)
10. J.H. van Hateren and A. van der Schaaf. Independent component filters of natural images compared with simple cells in primary visual cortex. Proc. R. Soc. Lond. B, 265:359-366, 1998. (Pubitemid 28111919)