Publications

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Kumar J, Ye P, Doermann D.  2012.  Learning Document Structure for Retrieval and Classification. International Conference on Pattern Recognition (ICPR 2012). :1558-1561.
Elgammal A, Shet V, Yacoob Y, Davis LS.  2003.  Learning dynamics for exemplar-based gesture recognition. Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on. 1:I-571-I-578vol.1-I-571-I-578vol.1.
Aloimonos Y, Shulman D.  1989.  Learning early-vision computations. JOSA A. 6(6):908-919.
Ramanathan N, Chellappa R.  2009.  Learning Facial Aging Models: A Face Recognition Perspective. Biometrics: theory, methods, and applications. 9:271-271.
Ye P, Doermann D.  2012.  Learning features for predicting OCR accuracy. International Conference on Pattern Recognition (ICPR). :3204-3207.
Selby RW, Porter A.  1988.  Learning from examples: generation and evaluation of decision trees for software resource analysis. IEEE Transactions on Software Engineering. 14(12):1743-1757.
Farrell R, Doermann D, Davis LS.  2007.  Learning Higher-order Transition Models in Medium-scale Camera Networks. Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on. :1-8.
Li R, Chellappa R, Zhou SK.  2009.  Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition. Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. :2450-2457.
Lin Z, Davis LS.  2008.  Learning pairwise dissimilarity profiles for appearance recognition in visual surveillance. Advances in Visual Computing. :23-34.
Black MJ, Yacoob Y, Jepson AD, Fleet DJ.  1997.  Learning parameterized models of image motion. Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on. :561-567.
Ilghami O, Nau DS, Muñoz-Avila H, Aha DW.  2005.  Learning preconditions for planning from plan traces and HTN structure. Computational Intelligence. 21(4):388-413.
Getoor L, Friedman N, Koller D, Taskar B.  2001.  Learning probabilistic models of relational structure. MACHINE LEARNING-INTERNATIONAL WORKSHOP. :170-177.
Friedman N, Getoor L, Koller D, Pfeffer A.  1999.  Learning probabilistic relational models. International Joint Conference on Artificial Intelligence. 16:1300-1309.
Getoor L.  2000.  Learning probabilistic relational models. Abstraction, Reformulation, and Approximation. :322-323.
Gruser JR, Raschid L, Zadorozhny V, Zhan T.  2000.  Learning response time for websources using query feedback and application in query optimization. The VLDB Journal—The International Journal on Very Large Data Bases. 9(1):18-37.
Aloimonos Y, Shulman D.  1987.  Learning shape computations. Proc. DARPA Image.
Li Y, Fermüller C, Aloimonos Y, Ji H.  2010.  Learning shift-invariant sparse representation of actions. 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). :2630-2637.
Getoor L, Mihalkova L.  2011.  Learning statistical models from relational data. Proceedings of the 2011 international conference on Management of data. :1195-1198.
Getoor L.  2003.  Learning Structure From Statistical Models. IEEE Data Engineering Bulletin. 26(3):11-18.
desJardins M, Rathod P, Getoor L.  2008.  LEARNING STRUCTURED BAYESIAN NETWORKS: COMBINING ABSTRACTION HIERARCHIES AND TREE‐STRUCTURED CONDITIONAL PROBABILITY TABLES. Computational Intelligence. 24(1):1-22.
Getoor L, Friedman N, Koller D.  2002.  Learning structured statistical models from relational data. Linköping Electronic Articles in Computer and Information Science. 7:13-13.
Kang L, Kumar J, Ye P, Doermann D.  2012.  Learning Text-line Segmentation using Codebooks and Graph Partitioning. International Conference on Frontiers in Handwriting Recognition (ICFHR). :63-68.
Basili VR.  2010.  Learning Through Application: The Maturing ofthe QIP in the SEL. Making Software: What Really Works, and Why We Believe ItMaking Software: What Really Works, and Why We Believe It. :65-65.
Sato T, Kameya Y, De Raedt L, Dietterich T, Getoor L, Muggleton SH.  2006.  Learning through failure. Probabilistic, Logical and Relational Learning-Towards a Synthesis. (05051)
Ilghami O, Nau DS, Munoz-Avila H.  2006.  Learning to do HTN planning. :390-393.

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