Kersten, D., A. J. O'Toole, M. E. Sereno, D. C. Knill, and J. A. Anderson: 1987, `Associative learning of scene parameters from images'. Applied Optics 26#23#, 4999#5006. Home/Search Document Not in Database Summary Related Articles Check |
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Bayesian Decision Theory and Psychophysics - Yuille, Bülthoff (1994) (12 citations) (Correct)
....in computational vision have developed a number of promising priors for modeling the world, it is an open research task to try to refine and extend these models in order to build systems of the type outlined here. Fortunately the Bayesian framework is able to incorporate learning. 25 , see [32], and the success of (Bayesian) Hidden Markov Models for speech recognition [44] suggests that it may be practical to learn Bayesian theories 26 7 Conclusion In this Chapter we have argued for a framework for Vision based on Bayesian Decision theory. From this perspective, vision consists of ....
D. Kersten, A.J. O'Toole, M.E. Sereno, D.C. Knill and J.A. Anderson. "Associative learning of scene parameters from images." Optical Society of America, 26 (23), pp 4999-5006, 1987.
A Bayesian Framework for the Integration of Visual Modules - Bülthoff, Yuille (1996) (Correct)
....workers in computational vision have developed a number of promising priors for modeling the world, it is an open research task to try to refine and extend these models in order to build systems of the type outlined here. Fortunately the Bayesian framework is able to incorporate learning, see (Kersten et al. 1987), and the success of (Bayesian) Hidden Markov Models for speech recognition (Paul, 1990) suggests that it may be practical to learn Bayesian theories. It is particularly interesting to ask whether priors can be learnt for new task. 6 Conclusion In this chapter we have argued for a framework for ....
Kersten, D., O'Toole, A., Sereno, M., Knill, D., and Anderson, J. (1987). Associative learning of scene parameters from images. Journal of the Optical Society of America A, 26 (23):4999-- 5006.
Why the Visual Recognition System Might Encode the.. - Tarr, Kersten, Bülthoff (1998) (1 citation) Self-citation (Kersten) (Correct)
....in the introduction. What are the alternatives Another traditional approach in computer M.J. Tarr et al. Vision Research 38 (1998) 2259 2275 2274 vision is to use independent and explicit knowledge of global light source direction to determine shape fromshading through local filtering [52,53]. The fact that human vision does not seek global consistency argues against a general purpose illumination direction estimator applicable to the scene as a whole. It does not, however, rule out explicit object specific estimates of illumination direction. Whether to represent illumination ....
Kersten D, O'Toole AJ, Sereno ME, Knill DC, Anderson JA. Associative learning of scene parameters from images. Appl Opt 1987;26:4999 -- 5006.
Why the Visual Recognition System Might Encode the.. - Tarr, Kersten, Bülthoff (1998) (1 citation) Self-citation (Kersten) (Correct)
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Kersten, D., O'Toole, A. J., Sereno, M. E., Knill, D. C., & Anderson, J. A. (1987). Associative learning of scene parameters from images. Appl. Opt., 26, 4999-5006.
Learning Low-Level Vision - Freeman, Pasztor, Carmichael (2000) (61 citations) (Correct)
No context found.
Kersten, D., A. J. O'Toole, M. E. Sereno, D. C. Knill, and J. A. Anderson: 1987, `Associative learning of scene parameters from images'. Applied Optics 26#23#, 4999#5006.
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