Publications

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Wang L, Jimmy Lin, Metzler D.  2010.  Learning to efficiently rank. Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval. :138-145.
Ilghami O, Nau DS, Munoz-Avila H.  2006.  Learning to do HTN planning. :390-393.
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)
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.
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.
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.
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.  2003.  Learning Structure From Statistical Models. IEEE Data Engineering Bulletin. 26(3):11-18.
Getoor L, Mihalkova L.  2011.  Learning statistical models from relational data. Proceedings of the 2011 international conference on Management of data. :1195-1198.
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.
Aloimonos Y, Shulman D.  1987.  Learning shape computations. Proc. DARPA Image.
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.
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.
Getoor L, Friedman N, Koller D, Taskar B.  2001.  Learning probabilistic models of relational structure. MACHINE LEARNING-INTERNATIONAL WORKSHOP. :170-177.
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.
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.
Lin Z, Davis LS.  2008.  Learning pairwise dissimilarity profiles for appearance recognition in visual surveillance. Advances in Visual Computing. :23-34.
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.
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.
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.
Ye P, Doermann D.  2012.  Learning features for predicting OCR accuracy. International Conference on Pattern Recognition (ICPR). :3204-3207.
Ramanathan N, Chellappa R.  2009.  Learning Facial Aging Models: A Face Recognition Perspective. Biometrics: theory, methods, and applications. 9:271-271.
Aloimonos Y, Shulman D.  1989.  Learning early-vision computations. JOSA A. 6(6):908-919.
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.

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