Alan Yuille

Yuille, A. L., Coughlan, J., & Konishi, S. (2003). The generic viewpoint assumption and planar bias. Ieee Transactions On Pattern Analysis And Machine Intelligence, 25, 775–778.

Yuille, A. L., & Coughlan, J. (1999). From Generic to Specific: An Information Theoretic Perspective on the Value of High-Level Information. Probabilistic Models Of The Brain, 135.

Coughlan, J., & Yuille, A. L. (2003). A large deviation theory analysis of Bayesian tree search. Ima Volumes In Mathematics And Its Applications, 133, 1–18.

Coughlan, J., & Yuille, A. L. (2001). The g Factor: Relating Distributions on Features to Distributions on Images. NIPS, 1231–1238.

Yuille, A. L., Coughlan, J., & Konishi, S. (2003). The KGBR viewpoint-lighting ambiguity. Journal Of The Optical Society Of America (Josa) A, 20(1). (Original work published 2003)

Coughlan, J., & Yuille, A. L. (2003). Algorithms from statistical physics for generative models of images. Image And Vision Computing, 21, 29–36.

Konishi, S., Yuille, A. L., Coughlan, J., & Zhu, S. C. (2002). Fundamental bounds on edge detection: learning and evaluating edge cues. Pattern Anal. Machine Intell.

Yuille, A. L., Coughlan, J., & Kersten, D. (1998). Computational Vision: Principles of Perceptual Inference.

Yuille, A. L., Coughlan, J., & Zhu, S. C. (2000). Unified framework for performance analysis of Bayesian inference. AeroSense 2000, 333–346. International Society for Optics and Photonics.

Yuille, A. L., Coughlan, J., & Konishi, S. (2001). The KGBR viewpoint-lighting ambiguity and its resolution by generic constraints. Computer Vision, 2001. Iccv 2001. Proceedings. Eighth Ieee International Conference On, 2, 376–382.