Publications

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Author [ Title(Asc)] Type Year
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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.
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.
MacArthur CA, Shneiderman B.  1986.  Learning Disabled Students' Difficulties in Learning to Use A Word Processor: Implications for Instruction and Software Evaluation. Journal of Learning DisabilitiesJ Learn Disabil. 19(4):248-253.
MacArthur CA, Shneiderman B.  1986.  Learning disabled students' difficulties in learning to use a word processor: implications for design. ACM SIGCHI Bulletin. 17(3):41-46.
Cho S, Reggia JA.  1993.  Learning competition and cooperation. Neural computation. 5(2):242-259.
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.
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.
Ilghami O, Muñoz-Avila H, Nau DS, Aha DW.  2005.  Learning approximate preconditions for methods in hierarchical plans. :337-344.
Gopalan R, Hong T, Shneier M, Chellappa R.  2010.  A Learning Approach Towards Detection and Tracking of Lane Markings. IEEE Transactions on Intelligent Transportation Systems. PP(99):1-12.
Wagstaff K, desJardins M, Eaton E, Montminy J.  2007.  Learning and visualizing user preferences over sets. American Association for Artificial Intelligence (AAAI).
Doppa J, Yu J, Tadepalli P, Getoor L.  2010.  Learning algorithms for link prediction based on chance constraints. Machine Learning and Knowledge Discovery in Databases. :344-360.
Grundstrom EL, Reggia JA.  1996.  Learning Activation Rules Rather Than Connection Weights. International journal of neural systems. 7(2):129-148.
Reggia JA, Grundstrom E, Berndt RS.  1996.  Learning activation rules for associative networks. Neural Networks, 1996., IEEE International Conference on. 1:365-370.
Turaga P, Chellappa R.  2008.  Learning action dictionaries from video. Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on. :1704-1707.
Miner D, desJardins M.  2008.  Learning Abstract Properties of Swarm Systems. Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems.
Parton D, Huffman K, Pridgen P, Norman K, Shneiderman B.  1985.  Learning a menu selection tree: training methods compared. Behaviour & Information Technology. 4(2):81-91.
Zhuolin Jiang, Lin Z, Davis LS.  2011.  Learning a discriminative dictionary for sparse coding via label consistent K-SVD. Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. :1697-1704.
Yacoob Y, Davis LS.  2000.  Learned models for estimation of rigid and articulated human motion from stationary or moving camera. International Journal of Computer Vision. 36(1):5-30.
Dorr BJ.  1997.  LCS-based Korean Parsing and Translation. Ms. Institute for Advanced Computer Studies and Department of Computer Science, University of Maryland.
Eom H, Hollingsworth J.  1998.  LBF: a performance metric for program reorganization. 18th International Conference on Distributed Computing Systems, 1998. Proceedings. :222-229.
Tzannes A, Caragea GC, Barua R, Vishkin U.  2010.  Lazy binary-splitting: a run-time adaptive work-stealing scheduler. Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. :179-190.
Balkan AO, Horak MN, Qu G, Vishkin U.  2007.  Layout-Accurate Design and Implementation of a High-Throughput Interconnection Network for Single-Chip Parallel Processing. High-Performance Interconnects, 2007. HOTI 2007. 15th Annual IEEE Symposium on. :21-28.
Khuller S, Naor JS, Klein P.  1993.  The lattice structure of flow in planar graphs. SIAM Journal on Discrete Mathematics. 6:477-477.
Bazinet AL, Cummings MP.  2008.  The Lattice Project: a Grid research and production environment combining multiple Grid computing models. Distributed & Grid Computing — Science Made Transparent for Everyone. Principles, Applications and Supporting CommunitiesDistributed & Grid Computing — Science Made Transparent for Everyone. Principles, Applications and Supporting Communities. :2-13.
Reggia JA, Sutton G, D'Autrechy CL, Weinrich M.  1992.  Lateral cortical inhibition without lateral inhibitory connections. Neural Networks, 1992. IJCNN., International Joint Conference on. 3:415-420vol.3-415-420vol.3.

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