Alan Yuille

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.

Coughlan, J. ., Yuille, A. L., English, C. ., & Snow, D. . (1998). Efficient optimization of a deformable template using dynamic programming. 2013 IEEE Conference on Computer Vision and Pattern Recognition, 747–747. IEEE Computer Society.

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.

Rangarajan, A. ., Coughlan, J. ., & Yuille, A. L. (2003). A bayesian network framework for relational shape matching. Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, 671–678. IEEE.

Konishi, S. ., Yuille, A. L., & Coughlan, J. . (2003). A statistical approach to multi-scale edge detection. Image and Vision Computing, 21, 37–48.

Konishi, S. ., Yuille, A. L., Coughlan, J. ., & Zhu, S. C. (2003). Statistical edge detection: Learning and evaluating edge cues. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 25, 57–74.

Konishi, S. ., Yuille, A. L., Coughlan, J. ., & Zhu, S. C. (1999). Fundamental bounds on edge detection: An information theoretic evaluation of different edge cues. Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference On., 1. IEEE.

Coughlan, J. ., & Yuille, A. L. (1999). Manhattan world: Compass direction from a single image by bayesian inference. Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on, 2, 941–947. IEEE.

Coughlan, J. ., Yuille, A. L., English, C. ., & Snow, D. . (2000). Efficient deformable template detection and localization without user initialization. Computer Vision and Image Understanding, 78, 303–319.

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.