Publications

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Filters: Author is Alan L. Yuille  [Clear All Filters]
1997
Yuille, A. L., & Coughlan, J.. (1997). Twenty Questions, Focus of Attention, and A*: A theoretical comparison of optimization strategies. In Energy Minimization Methods in Computer Vision and Pattern Recognition (pp. 195–212). Springer Berlin Heidelberg.
1999
Coughlan, J., & Yuille, A. L.. (1999). Bayesian A* tree search with expected O (N) convergence rates for road tracking. In Energy Minimization Methods in Computer Vision and Pattern Recognition (pp. 189–204). Springer Berlin Heidelberg.
Konishi, S., Yuille, A. L., Coughlan, J., & Zhu, S. Chun. (1999). Fundamental bounds on edge detection: An information theoretic evaluation of different edge cues. In Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on. (Vol. 1). IEEE.
Yuille, A. L., & Coughlan, J.. (1999). High-Level and Generic Models for Visual Search: When does high level knowledge help?. In Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on. (Vol. 2). IEEE.
Coughlan, J., & Yuille, A. L.. (1999). Manhattan world: Compass direction from a single image by bayesian inference. In Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on (Vol. 2, pp. 941–947). IEEE.
Yuille, A. L., & Coughlan, J.. (1999). Visual search: Fundamental bounds, order parameters, and phase transitions. Proc Ieee Workshop On Statistical And Computational Theories Of Vision. Cvpr 1999. Fort Collins, Co. June 1999. (Original work published 1999)
2000
Yuille, A. L., & Coughlan, J.. (2000). Fundamental limits of Bayesian inference: order parameters and phase transitions for road tracking. Pattern Analysis And Machine Intelligence, Ieee Transactions On, 22, 160–173.
Yuille, A. L., Coughlan, J., & Konishi, S.. (2000). The generic viewpoint constraint resolves the generalized bas relief ambiguity. Proc. Of Conference On Information Scienes And Systems (Ciss 2000), 15–17.
Yuille, A. L., Coughlan, J., Zhu, S. Chun, & Wu, Y.. (2000). Order Parameters for Minimax Entropy Distributions: When does high level knowledge help?. In Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on (Vol. 1, pp. 558–565). IEEE.
Yuille, A. L., Coughlan, J., & Zhu, S. Chun. (2000). Unified framework for performance analysis of Bayesian inference. In AeroSense 2000 (pp. 333–346). International Society for Optics and Photonics.
2003
Rangarajan, A., Coughlan, J., & Yuille, A. L.. (2003). A bayesian network framework for relational shape matching. In Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on (pp. 671–678). IEEE.

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