Publications

E Yund, W., Roup, C. M., Simon, H. J., & Bowman, G. A.. (2006). Acclimatization in wide dynamic range multichannel compression and linear amplification hearing aids. Journal Of Rehabilitation Research And Development, 43, 517.

E Yund, W., Simon, H. J., & Efron, R. O. B. E. R. T.. (1987). Speech discrimination with an 8-channel compression hearing aid and conventional aids in background of speech-band noise. J Rehabil Res Dev, 24, 160–80.

Yuille, A. L., & Coughlan, J.. (2000). An A∗ perspective on deterministic optimization for deformable templates. Pattern Recognition, 33, 603–616.

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.

Yuille, A. L., & Coughlan, J.. (1998). Convergence rates of algorithms for visual search: detecting visual contours. In NIPS (pp. 641–647).

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.

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

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)

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.

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.. (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.

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.

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., & 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., Wu, Y., & Zhu, S. Chun. (2001). Order Parameters for Detecting Target Curves in Images: When does high level knowledge help?. International Journal Of Computer Vision, 41, 9–33.

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)

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.

Yang, S. -nan, Heinen, S. J., & Missal, M.. (2008). The effects of microstimulation of the dorsomedial frontal cortex on saccade latency. Journal Of Neurophysiology, 99, 1857–1870.

Yang, S. -nan, & Heinen, S. J.. (2014). Contrasting the roles of the supplementary and frontal eye fields in ocular decision making. Journal Of Neurophysiology, 111, 2644–2655.