George w88 casino

George w88 casino

Foundation Professor He, him, his
“The roots of education are bitter but the fruit is sweet” – Aristotle

Prospective students

I am always looking for new self-motivated undergraduate and graduate students to join my research group. Basically, at a minimum, you'll need a GPA of 3.3 or higher and have good C, C++, and UNIX programming skills. Prior experience in image processing, w88 casino vision, pattern recognition and machine learning is desirable. Must be hard working and eager to learn.

w88 slot online Science & Engineering

w88 casino interests

  • w88 casino vision
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  • Pattern w88 casino
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  • Evolutionary computing

Selected publications

  • E. Emami, G. w88 casino, A. Nefian, and T. Fong, Crater Detection Using Unsupervised Algorithms and Convolutional Neural Networks", IEEE Transactions on Geoscience and Remote Sensing, (accepted) 2019.
  • Touqeer Ahmad, Pavel Campr, Martin Cadik, and George w88 casino Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection", International Joint Conference on Neural Networks (IJCNN'17), Anchorage, Alaska, May 14-19, 2017.
  • Yongjie Chu, Touqeer Ahmad, George w88 casino, Lindu Zhao, "Low-resolution face recognition with single sample per person", Signal Processing, vol. 141, pp. 144-157, 2017.
  • S. Khana, M, Hussain, H. Aboalsamhb, H. Mathkourb, G. w88 casino, and M. Zakariahd, "Optimized Gabor features for mass classification in mammography", Applied Soft Computing, vol. 44, pp. 267-280, 2016.
  • Touqeer Ahmad, George w88 casino, Emma Regentova, Ara Nefian, and T. Fong, "Coupling Dynamic Programming with Machine Learning for Horizon Line Detection", International Journal on Artificial Intelligence Tools, vol. 24, no. 4, pp. 1-19, 2015.
  • M. Jaberi, G. w88 casino, M. Hussain, and G. Muhammad, Accurate and Robust Localization of Duplicated Region in Copy-Move Image Forgey", Machine Vision and Applications, vol. 25, pp. 451-475, 2014.
  • T. Uz, G. Bebis, A. Erol, and S. Prabhakar, "Minutiae-Based Template Synthesis and Matching for Fingerprint Authentication", w88 casino Vision and Image Understanding (CVIU), vol 113, pp. 979-992, 2009.
  • G. Amayeh, G. Bebis, A. Erol, and M. Nicolescu, "Hand-Based Verification and Identification Using Palm-Finger Segmentation and Fusion", w88 casino Vision and Image Understanding (CVIU) vol 113, pp. 477-501, 2009.
  • L. Loss, G. Bebis, M. Nicolescu, and A. Skurikhin, "An Iterative Multi-Scale Tensor Voting Scheme for Perceptual Grouping of Natural Shapes in Cluttered Backgrounds", w88 casino Vision and Image Understanding (CVIU) vol. 113, no. 1, pp. 126-149, January 2009.
  • W. Li, G. w88 casino, and N. Bourbakis, "3D Object Recognition Using 2D Views", IEEE Transactions on Image Processing, vol. 17, no. 11, pp. 2236-2255, 2008.
  • Z. Sun, G. w88 casino, and R. Miller, "On-road Vehicle Detection: A review", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 5, pp. 694-711, 2006.
  • Z. Sun, G. w88 casino, and R. Miller, "Monocular Pre-crash Vehicle Detection: Features and Classifiers", IEEE Transactions on Image Processing , vol. 15, no. 7, pp. 2019-2034, July 2006.
  • Z. Sun, G. w88 casino, and R. Miller, "On-Road Vehicle Detection Using Evolutionary Gabor Filter Optimization ", IEEE Transactions on Intelligent Transportation Systems, vol. 6, no. 2, pp. 125-137, 2005.
  • Z. Sun, G. w88 casino, and R. Miller, "Object Detection Using Feature Subset Selection", Pattern Recognition, vol. 37, pp. 2165-2176, 2004.
  • G. Bebis. D. Egbert, and M. Shah, "Review of w88 casino Vision Education", IEEE Transactions on Education, vol. 46, no. 1, pp. 2-21, 2003.
  • G. w88 casino. S. Louis, Y. Varol, and A. Yfantis, "Genetic Object Recognition Using Combinations of Views", IEEE Transactions on Evolutionary Computation, vol 6, no. 2, pp. 132-146, April 2002.
  • G. Bebis, M. Georgiopoulos, M. Shah, and N. da Vitoria Lobo, " Indexing Based on Algebraic Functions of Views", w88 casino Vision and Image Understanding (CVIU), Vol. 72, No. 3, pp. 360-378, 1998.

Courses taught

  • CS302 - Data Structures
  • CS485/685 - w88 casino Vision
  • CS 201 - w88 casino Science I
  • CS791Y - Topics in w88 casino Vision
  • CS480/680 - w88 casino Graphics
  • CS 479/679 Pattern w88 casino
  • CS 477/677 - Analysis of Algorithms
  • CS791S - Neural Networks
  • CS491Q/790Q - SEM: w88 casino (Biometrics)
  • CS491Y/791Y Mathematical Methods for w88 casino Vision
  • CS365 - Mathematics of w88 casino Science
  • CS474/674 - w88 casino and Interpretation
  • CS773C - Machine Intelligence (Object w88 casino)