Publications

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De Floriani L, Greenfieldboyce D, Hui A.  2004.  A data structure for non-manifold simplicial d-complexes. Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing. :83-92.
De Floriani L.  1978.  A Method for Organizing a Project Network into a Tree Structure. Third Symposium on Operations Research, Mannheim University, Tagungsbericht.
De Floriani L, Hui A, Giannini F.  2008.  Identification of Form Features in Non-Manifold Shapes Through a Decomposition Approach. ASME Conference Proceedings. 2008(48371):293-300.
De Floriani L, Hui A.  2006.  A Dimension-Independent Representation for Multiresolution Nonmanifold Meshes. Journal of Computing and Information Science in Engineering. 6(4):397-404.
De Floriani L, Hui A.  2003.  A scalable data structure for three-dimensional non-manifold objects. Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing. :72-82.
Davis LS, Fejes S, Harwood D, Yacoob Y, Hariatoglu I, Black M.  1997.  Visual surveillance of human activity. Computer Vision—ACCV'98. :267-274.
Davis LS.  2004.  In Memory of Azriel Rosenfeld. International Journal of Computer Vision. 60(1):3-4.
Davis LS, Lim SN, Mittal A.  2006.  SYSTEM AND METHOD FOR FAST ILLUMINATION-INVARIANT BACKGROUND SUBTRACTION USING TWO VIEWS. PCT/EP2005/056207(WO/2006/056592)
Davis LS, Horaud R.  2003.  Special Issue on Visual Analysis of Human Movement. The International Journal of Robotics Research. 22(6):357-357.
Davis LS, Basili VR, V.S. Subrahmanian, Reggia JA, Aloimonos Y.  2006.  Real-Time Distributed Algorithms for Visual and Battlefield Reasoning.
Davis LS, Duraiswami R, Grassi E, Gumerov NA, Li Z, Zotkin DN.  2005.  High Order Spatial Audio Capture and Its Binaural Head-Tracked Playback Over Headphones with HRTF Cues. Audio Engineering Society Convention 119.
Davis LS.  2006.  Segmenting people in small groups. Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks. :1-2.
Davis LS, Roussopoulos N.  1980.  Approximate pattern matching in a pattern database system. Information Systems. 5(2):107-119.
David P, DeMenthon D, Duraiswami R, Samet H.  2004.  SoftPOSIT: Simultaneous pose and correspondence determination. International Journal of Computer Vision. 59(3):259-284.
David P, DeMenthon D, Duraiswami R, Samet H.  2002.  Evaluation of the SoftPOSIT Model-to-Image Registration Algorithm. Technical Reports from UMIACS, UMIACS-TR-2002-22.
David P, DeMenthon D, Duraiswami R, Samet H.  2003.  Simultaneous pose and correspondence determination using line features. Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on. 2:II-424-II-431vol.2-II-424-II-431vol.2.
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.
Daumé H, Marcu D.  2004.  A tree-position kernel for document compression. Proceedings of the Fourth Document Understanding Conference (DUC 2004). :6-7.
Daumé H, Marcu D.  2004.  Supervised clustering with the dirichlet process. NIPS'04 Learning With Structured Outputs Workshop.
Daumé H, Campbell L.  2007.  A Bayesian model for discovering typological implications. ANNUAL MEETING-ASSOCIATION FOR COMPUTATIONAL LINGUISTICS. 45:65-65.
Daumé H.  2009.  Bayesian multitask learning with latent hierarchies. Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. :135-142.
Daumé H, Marcu D.  2002.  A noisy-channel model for document compression. Proceedings of the 40th Annual Meeting on Association for Computational Linguistics. :449-456.
Daumé H, Echihabi A, Marcu D, Munteanu D, Soricut R.  2002.  GLEANS: A generator of logical extracts and abstracts for nice summaries. Workshop on Automatic Summarization. :9-14.
Daumé H, Marcu D.  2005.  Bayesian summarization at DUC and a suggestion for extrinsic evaluation. Document understanding conference.
Daumé H, Marcu D.  2005.  A large-scale exploration of effective global features for a joint entity detection and tracking model. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing. :97-104.

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