Separating style and content

Advances in Neural Information Processing Systems

Volumn , Issue , 1997, Pages 662-668

  Tenenbaum, Joshua B ^a   Freeman, William T ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MIXTURES;

BILINEAR MODELS; MIXTURE MODEL; PROBABILISTIC FRAMEWORK; SEPARABLE MIXTURES; STYLE AND CONTENTS; TRAINING DATA;

BENCHMARKING;

EID: 84898978567     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. R. Caruana. Learning many related tasks at the same time with backpropagation. In Adv. in Neural Info. Proc. Systems, volume 7, pages 657-674, 1995.
2. W. T. Freeman and J. B. Tenenbaum. Learning bilinear models for two-factor problems in vision. TR 96-37, MERL, 201 Broadway, Cambridge, MA 02139, 1996.
3. Z. Ghahramani. Factorial learning and the EM algorithm. In Adv. in Neural Info. Proc. Systems, volume 7, pages 617-624, 1995.
4. I. Grebert, D. G. Stork, R. Keesing, and S. Mims. Connectionist generalization for production: An example from gridfont. Neural Networks, 5:699-710, 1992.
5. P. W. Hallinan. A low-dimensional representation of human faces for arbitrary lighting conditions. In Proc. IEEE CVPR, pages 995-999, 1994.
6. T. Hastie and R. Tibshirani. Discriminant adaptive nearest neighbor classification. IEEE Pat. Anal. Mach. Intell, (18):607-616, 1996.
7. G. E. Hinton and R. Zemel. Autoencoders, minimum description length, and Helmholtz free energy. In Adv. in Neural Info. Proc. Systems, volume 6, 1994.
8. D. Hofstadter. Fluid Concepts and Creative Analogies. Basic Books, 1995.
9. J. J. Koenderink and A. J. van Doom. The generic bilinear calibration-estimation problem. Intl. J. Comp. Vis., 1997. in press.
10. J. R. Magnus and H. Neudecker. Matrix differential calculus with applications in statistics and econometrics. Wiley, 1988.
11. D. H. Marimont and B. A. Wandell. Linear models of surface and illuminant spectra. J. Opt. Soc. Am. A, 9(11):1905-1913, 1992.
12. S. M. Omohundro. Family discovery. In Adv. in Neural Info. Proc. Sys., vol. 8, 1995.
13. A. Robinson. Dynamic error propagation networks. PhD thesis, Cambridge University Engineering Dept., 1989.
14. C. Tomasi and T. Kanade. Shape and motion from image streams under orthography: a factorization method. Intl. J. Comp. Vis., 9(2):137-154, 1992.
15. M. Turk and A. Pentland. Eigenfaces for recognition. J. Cog. Neurosci., 3(1), 1991.