Publications

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Deshpande A, Sarawagi S.  2007.  Probabilistic graphical models and their role in databases. Proceedings of the 33rd international conference on Very large data bases. :1435-1436.
Gupta A, Kembhavi A, Davis LS.  2009.  Probabilistic graphical models. IEEE transactions on pattern analysis and machine intelligence. 31(10):1775-1789.
Parker A, Yaman F, Nau DS, V.S. Subrahmanian.  2007.  Probabilistic go theories.
Han B, Davis LS.  2009.  Probabilistic fusion-based parameter estimation for visual tracking. Computer Vision and Image Understanding. 113(4):435-445.
Han B, Joo S-W, Davis LS.  2007.  Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering. Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on. :1-8.
De la Torre F, Yacoob Y, Davis LS.  2000.  A probabilistic framework for rigid and non-rigid appearance based tracking and recognition. Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on. :491-498.
Domke J, Aloimonos Y.  2007.  A probabilistic framework for correspondence and egomotion. Dynamical Vision. :232-242.
desJardins M.  1991.  Probabilistic evaluation of bias for learning systems. Proceedings of the Eighth International Workshop on Machine Learning. :495-499.
Hua S, Qu G, Bhattacharyya SS.  2007.  Probabilistic design of multimedia embedded systems. ACM Transactions on Embedded Computing Systems (TECS). 6(3):15–es-15–es.
Youssef MA, Agrawala AK, Shankar UA, Noh SH.  2002.  A Probabilistic Clustering-Based Indoor Location Determination System. Technical Reports from UMIACS, UMIACS-TR-2002-30.
Peng Y, Reggia JA.  1987.  A probabilistic causal model for diagnostic problem solving (parts 1 and 2). IEEE Transactions on Systems, Man and Cybernetics. :146-162.
Plangprasopchok A, Lerman K, Getoor L.  2011.  A probabilistic approach for learning folksonomies from structured data. Proceedings of the fourth ACM international conference on Web search and data mining. :555-564.
Lindenbaum M, Samet H, Hjaltason GR.  2006.  A probabilistic analysis of trie-based sorting of large collections of line segments in spatial databases. SIAM Journal on Computing. 35(1):22-58.
Sharma R, Mount D, Aloimonos Y.  1993.  Probabilistic analysis of some navigation strategies in a dynamic environment. Systems, Man and Cybernetics, IEEE Transactions on. 23(5):1465-1474.
Pugh W.  1990.  Probabilistic analysis of set operations with constant-time set equality test. Advances in Computing and Information—ICCI'90. :62-71.
Zhou S, Chellappa R, Moghaddam B.  2004.  Probabilistic analysis of kernel principal components. NIPS.
Mishra A, Shin M H, Petroni NL, Clancy TC, Arbaugh WA.  2004.  Proactive key distribution using neighbor graphs. IEEE Wireless Communications. 11(1):26-36.
Getoor L, Grant J.  2006.  PRL: A probabilistic relational language. Machine Learning. 62(1):7-31.
Hajiaghayi MT, Jain K.  2006.  The prize-collecting generalized Steiner tree problem via a new approach of primal-dual schema. Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm. :631-640.
Huang Y, Evans D, Katz J.  2011.  Private Set Intersection: Are Garbled Circuits Better than Custom Protocols? 19th Network and Distributed Security Symposium.
Chan HT-H, Elaine Shi, Song D.  2011.  Private and Continual Release of Statistics. ACM Transactions on Information and System Security (TISSEC). 14(3):26:1-26:24.
Elaine Shi, Chan T, Rieffel E, Chow R, Song D.  2011.  Privacy-preserving aggregation of time-series data. 17
Mashima D, Elaine Shi, Chow R, Sarkar P, Li C, Song D.  2011.  Privacy settings from contextual attributes: A case study using Google Buzz. :257-262.
Zheleva E, Getoor L.  2011.  Privacy in social networks: A survey. Social Network Data Analytics. :277-306.
Zheleva E, Terzi E, Getoor L.  2012.  Privacy in Social Networks. Synthesis Lectures on Data Mining and Knowledge Discovery. 3(1):1-85.

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