Publications

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Ye P, EDU UMD, Doermann D.  Submitted.  Combining preference and absolute judgements in a crowd-sourced setting. ics.uci.edu.
Ye P, Doermann D.  2012.  Learning features for predicting OCR accuracy. International Conference on Pattern Recognition (ICPR). :3204-3207.
Ye P, Doermann D.  2012.  No-Reference Image Quality Assessment using Visual Codebooks. Image Processing, IEEE Transactions on. PP(99):1-1.
Ye P, Doermann D.  2013.  Document Image Quality Assessment: A Brief Survey. International Conference on Document Analysis and Recognition (ICDAR).
Ye P, Doermann D.  2011.  No-reference image quality assessment based on visual codebook. Image Processing (ICIP), 2011 18th IEEE International Conference on. :3089-3092.
Ye Q, Doermann D.  2013.  Scene Text Detection via Integrated Discrimination of Component Appearance and Consensus.
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 C, Ma ZS, Cannon CH, Pop M, Yu DW.  2012.  Exploiting sparseness in de novo genome assembly. BMC bioinformatics. 13(Suppl 6)
Ye P, Kumar J, Kang L, Doermann D.  2012.  Unsupervised Feature Learning Framework for No-reference Image Quality Assessment. CVPR.
Yardi S, Feamster N, Bruckman A.  2008.  Photo-based authentication using social networks. Proceedings of the first workshop on Online social networks. :55-60.
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.  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.  A Geometric Algorithm for Finding the Largest Milling Cutter. ISR; TR 2000-40
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 maximal cutter for 2-D milling operations. :26-28.
Yao Z, Gupta SK, Nau DS.  2003.  Algorithms for selecting cutters in multi-part milling problems. Computer-Aided Design. 35(9):825-839.
Yang C, Duraiswami R, Elgammal A, Davis LS.  2004.  Real-Time Kernel-Based Tracking in Joint Feature-Spatial Spaces. Technical Reports from UMIACS.
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.  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, 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, 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.  On-Line Kernel-Based Tracking in Joint Feature-Spatial Spaces. IEEE, 0-7695-2158-2164.
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.

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