Publications

Export 7151 results:
Author Title [ Type(Desc)] Year
Conference Papers
Reggia JA, Grundstrom E, Berndt RS.  1996.  Learning activation rules for associative networks. Neural Networks, 1996., IEEE International Conference on. 1:365-370.
Ilghami O, Muñoz-Avila H, Nau DS, Aha DW.  2005.  Learning approximate preconditions for methods in hierarchical plans. :337-344.
Daumé H, Marcu D.  2005.  Learning as search optimization: approximate large margin methods for structured prediction. Proceedings of the 22nd international conference on Machine learning. :169-176.
El-Osery AI, Baird D, Abd-Almageed W.  2005.  A learning automata based power management for ad-hoc networks. 2005 IEEE International Conference on Systems, Man and Cybernetics. 4:3569-3573Vol.4-3569-3573Vol.4.
Schwartz WR, Davis LS.  2009.  Learning Discriminative Appearance-Based Models Using Partial Least Squares. Computer Graphics and Image Processing (SIBGRAPI), 2009 XXII Brazilian Symposium on. :322-329.
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.
Ye P, Doermann D.  2012.  Learning features for predicting OCR accuracy. International Conference on Pattern Recognition (ICPR). :3204-3207.
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.
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.
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.
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.
Ilghami O, Nau DS, Munoz-Avila H.  2006.  Learning to do HTN planning. :390-393.
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.
desJardins M, Eaton E, Wagstaff KL.  2006.  Learning user preferences for sets of objects. Proceedings of the 23rd international conference on Machine learning. :273-280.
Cho S, Reggia JA.  1992.  Learning visual coordinate transformations with competition. Neural Networks, 1992. IJCNN., International Joint Conference on. 4:49-54.
Zhu G, Yu X, Li Y, Doermann D.  2008.  Learning Visual Shape Lexicon for Document Image Content Recognition. The 10th European Conference on Computer Vision (ECCV 2008). :745-758.
Radio MJ, Reggia JA, Berndt RS.  2001.  Learning word pronunciations using a recurrent neural network. Neural Networks, 2001. Proceedings. IJCNN'01. International Joint Conference on. 1:11-15.
Resnik P.  1992.  Left-corner parsing and psychological plausibility. Proceedings of the 14th conference on Computational linguistics-Volume 1. :191-197.
Shneiderman B.  2005.  Leonardo's laptop: human needs and the new computing technologies. Proceedings of the 14th ACM international conference on Information and knowledge management. :1-1.
Fekete J-D, Plaisant C.  2004.  Les leçons tirées des deux compétitions de visualisation d'information. Proceedings of the 16th conference on Association Francophone d'Interaction Homme-Machine. :7-12.
Shevtsova N, Reggia JA.  1999.  Lesion effects in a bihemispheric letter-identification model. Neural Networks, 1999. IJCNN'99. International Joint Conference on. 1:215-218.
Basili VR, McGarry FE, Pajerski R, Zelkowitz MV.  2002.  Lessons learned from 25 years of process improvement: the rise and fall of the NASA software engineering laboratory. Proceedings of the 24th International Conference on Software Engineering. :69-79.

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