Publications

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Yaman F, Adali S, Nau DS, Sapino M, Subrahmanian V.  2004.  Plan Databases: Model and Algebra. Foundations of Information and Knowledge Systems. 2942:302-319.
Yaman F, Nau DS, V.S. Subrahmanian.  2005.  A motion closed world asumption. 19:621-621.
Yang C, Duraiswami R, Davis LS.  2005.  Fast multiple object tracking via a hierarchical particle filter. Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on. 1:212-219Vol.1-212-219Vol.1.
Yang H, Ye F, Yuan Y, Lu S, Arbaugh WA.  2005.  Toward resilient security in wireless sensor networks. Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing. :34-45.
Yang C, Duraiswami R, Davis LS.  2004.  Similarity measure for nonparametric kernel density based object tracking. Eighteenth Annual Conference on Neural Information Processing Systems, Vancouver.
Yang C, Duraiswami R, Elgammal A, Davis LS.  2004.  Real-Time Kernel-Based Tracking in Joint Feature-Spatial Spaces. Technical Reports from UMIACS.
Yang C, Duraiswami R, Davis LS.  2005.  Efficient kernel machines using the improved fast Gauss transform. Advances in neural information processing systems. 17:1561-1568.
Yang S, Wang K, Valladares O, Hannenhalli S, Bucan M.  2007.  Genome-wide expression profiling and bioinformatics analysis of diurnally regulated genes in the mouse prefrontal cortex. Genome Biology. 8(11):R247-R247.
Yang C, Duraiswami R, DeMenthon D, Davis LS.  2003.  Mean-shift analysis using quasiNewton methods. Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on. 2:II-447-50vol.3-II-447-50vol.3.
Yang C, Duraiswami R, Elgammal A, Davis LS.  2004.  On-Line Kernel-Based Tracking in Joint Feature-Spatial Spaces. IEEE, 0-7695-2158-2164.
Yang C, Duraiswami R, Davis LS.  2005.  Efficient mean-shift tracking via a new similarity measure. Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. 1:176-183vol.1-176-183vol.1.
Yang C, Duraiswami R, Gumerov NA, Davis LS.  2003.  Improved fast gauss transform and efficient kernel density estimation. Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on. :664-671vol.1-664-671vol.1.
Yao Z, Gupta SK, Nau DS.  2003.  Algorithms for selecting cutters in multi-part milling problems. Computer-Aided Design. 35(9):825-839.
Yao Z, Gupta SK, Nau DS.  2000.  Finding the maximal cutter for 2-D milling operations. :10-13.
Yao Z, Gupta SK, Nau DS.  2001.  A geometric algorithm for selecting optimal set of cutters for multi-part milling. :130-139.
Yao Z, Gupta SK, Nau DS.  2000.  A Geometric Algorithm for Multi-Part Milling Cutter Selection. ISR; TR 2000-42
Yao Z, Gupta SK, Nau DS.  2000.  Selecting Flat End Mills for 2-1/2D Milling Operations. ISR; TR 2000-41
Yao Z, Gupta SK, Nau DS.  2000.  A Geometric Algorithm for Finding the Largest Milling Cutter. ISR; TR 2000-40
Yao Z, Gupta SK.  2004.  Cutter path generation for 2.5D milling by combining multiple different cutter path patterns. International Journal of Production Research. 42(11):2141-2161.
Yao Z, Gupta SK, Nau DS.  2000.  A geometric algorithm for finding the maximal cutter for 2-D milling operations. :26-28.
Yardi S, Feamster N, Bruckman A.  2008.  Photo-based authentication using social networks. Proceedings of the first workshop on Online social networks. :55-60.
Ye P, Kumar J, Kang L, Doermann D.  2012.  Unsupervised Feature Learning Framework for No-reference Image Quality Assessment. CVPR.
Ye P, Kumar J, Kang L, Doermann D.  2013.  Real-time No-Reference Image Quality Assessment based on Filter Learning. International Conference on Computer Vision and Pattern Recognition (CVPR).
Ye P, Doermann D.  2012.  Learning features for predicting OCR accuracy. International Conference on Pattern Recognition (ICPR). :3204-3207.
Ye C, Ma ZS, Cannon CH, Pop M, Yu DW.  2012.  Exploiting sparseness in de novo genome assembly. BMC bioinformatics. 13(Suppl 6)

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