Yuille, A. L., Coughlan, J. ., Zhu, S. C., & Wu, Y. . (2000). Order Parameters for Minimax Entropy Distributions: When does high level knowledge help?. Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on, 1, 558–565. IEEE.
James Coughlan
Year of Publication
2008
Secondary Title
Computers Helping People with Special Needs
Number of Pages
1122–1128
Publication Language
eng
Publisher
Springer Berlin Heidelberg
Other Numbers
PMCID: PMC4777606
Citation Key
ivanchenko2008crosswatch
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. ., Wu, Y. ., & Zhu, S. C. (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. . (1999). High-Level and Generic Models for Visual Search: When does high level knowledge help?. Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference On., 2. IEEE.
Coughlan, J. ., & Yuille, A. L. (2002). Bayesian A* tree search with expected O (N) node expansions: applications to road tracking. Neural Computation, 14, 1929–1958.
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)
Coughlan, J. ., & Shen, H. . (2007). Dynamic quantization for belief propagation in sparse spaces. Computer Vision and Image Understanding, 106, 47–58.
Yuille, A. L., & Coughlan, J. . (1998). Convergence rates of algorithms for visual search: detecting visual contours. NIPS, 641–647.
Shen, H. ., & Coughlan, J. . (2006). Finding text in natural scenes by figure-ground segmentation. Pattern Recognition, 2006. ICPR 2006. 18th International Conference on, 4, 113–118. IEEE.