Publications

Export 7148 results:
[ Author(Asc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
D
De Floriani L, Lee M.  2004.  Selective refinement on nested tetrahedral meshes. Geometric Modeling for Scientific VisualizationGeometric Modeling for Scientific Visualization. :329-344.
De Floriani L, Magillo P, Vitali M.  2010.  Modeling and generalization of discrete Morse terrain decompositions. Proc. 20th Int. Conf. on Pattern Recognition, ICPR. 10:999-1002.
De Floriani L, Hui A.  2004.  Update operations on 3D simplicial decompositions of non-manifold objects. Proceedings of the ninth ACM symposium on Solid modeling and applications. :169-180.
De Floriani L, Papaleo L, Carissimi N.  2008.  A Java3D framework for inspecting and segmenting 3D models. Proceedings of the 13th international symposium on 3D web technology. :67-74.
De Floriani L, Mesmoudi M, Morando F, Puppo E.  2002.  Non-manifold decomposition in arbitrary dimensions. Discrete Geometry for Computer Imagery. :59-115.
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.  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.  2006.  Segmenting people in small groups. Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks. :1-2.
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, 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.  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.
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.
Daumé H.  2009.  Markov random topic fields. Proceedings of the ACL-IJCNLP 2009 Conference Short Papers. :293-296.
Daumé H, Marcu D.  2004.  Generic sentence fusion is an ill-defined summarization task. Proceedings of the Text Summarization Branches Out Workshop at ACL. 4:96-103.
Daumé H, Marcu D.  2004.  A phrase-based hmm approach to document/abstract alignment. Proceedings of EMNLP. :119-126.
Daumé H, Knight K, Langkilde-Geary I, Marcu D, Yamada K.  2002.  The importance of lexicalized syntax models for natural language generation tasks. Proc. of INLG. :9-16.
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.

Pages