Publications

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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, 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.
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 kernel machines using the improved fast Gauss transform. Advances in neural information processing systems. 17:1561-1568.
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.
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.
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
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, Doermann D.  2012.  No-Reference Image Quality Assessment using Visual Codebooks. Image Processing, IEEE Transactions on. PP(99):1-1.
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, 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, Doermann D.  2012.  Learning features for predicting OCR accuracy. International Conference on Pattern Recognition (ICPR). :3204-3207.
Ye P, Kumar J, Kang L, Doermann D.  2012.  Unsupervised Feature Learning Framework for No-reference Image Quality Assessment. CVPR.
Ye P, EDU UMD, Doermann D.  Submitted.  Combining preference and absolute judgements in a crowd-sourced setting. ics.uci.edu.
Ye P, Doermann D.  2013.  Document Image Quality Assessment: A Brief Survey. International Conference on Document Analysis and Recognition (ICDAR).
Yegnanarayana B, Prasanna SRM, Duraiswami R, Zotkin DN.  2005.  Processing of reverberant speech for time-delay estimation. IEEE Transactions on Speech and Audio Processing. 13(6):1110-1118.
Tom Yeh, Darrell T.  2008.  Dynamic visual category learning. Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. :1-8.

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