Publications

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Filters: Author is James Coughlan  [Clear All Filters]
1994
Hierarchical spline-based image registration. (1994). Hierarchical spline-based image registration. In Computer Vision and Pattern Recognition, 1994. Proceedings CVPR'94., 1994 IEEE Computer Society Conference on (pp. 194–201). IEEE.
1997
Spline-based image registration. (1997). Spline-based image registration. International Journal Of Computer Vision, 22, 199–218.
Twenty Questions, Focus of Attention, and A*: A theoretical comparison of optimization strategies. (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
Bayesian A* tree search with expected O (N) convergence rates for road tracking. (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.
High-Level and Generic Models for Visual Search: When does high level knowledge help?. (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.
Manhattan world: Compass direction from a single image by bayesian inference. (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.
Visual search: Fundamental bounds, order parameters, and phase transitions. (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.
2000
Order Parameters for Minimax Entropy Distributions: When does high level knowledge help?. (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.
Unified framework for performance analysis of Bayesian inference. (2000). Unified framework for performance analysis of Bayesian inference. In AeroSense 2000 (pp. 333–346). International Society for Optics and Photonics.

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