Research Publications Courses Resume Contact Info Links
Ping Wang started her Ph.D program in the
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Articulated Figure Tracking - Analyze and evaluate various particle filters for articulated figure tracking in a modular approach. |
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Fast Data Clustering - Fast computation with user-controlled error bound in approximation. |
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Fast Mean Shift with Accurate and Stable Convergence, Ping Wang, Dongryeol Lee, Alexander Gray and James M. Rehg, AI and Statistics 2007. |
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A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking, Ping Wang and James M. Rehg, IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR'06, Volume 1, pp. 790-797, New York, June, 2006. |
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Fall 2007 |
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Fall 2006 |
CS 8803 NMC - Numerical Methods in Computational Science and Engineering (Audit) |
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Spring
2006 |
ECE 6254 - Statistical Digital Signal Processing and Modeling |
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Fall 2005 |
ECE 6271 - Adaptive Filtering |
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Spring
2005 |
CS 8803 - Introduction to Probabilistic Graphical Models (Audit) |
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Fall 2004 |
ECE 6258 - Digital Image Processing |
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Spring
2004 |
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Fall 2003 |
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CS 8803 - Multimedia Systems |
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Spring
2003 |
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CS 8803A - Pattern Recognition (Audit) |
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Fall 2002 |
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CS8801 - Graduate Teaching Workshop |
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Teaching Assistant: CS 4495/7495 - Computer Vision |
TSRB 230,
Georgia Institute of Technology
Phone: 404-385-4228
GVU Fax: 404-894-0673
http://www.cc.gatech.edu/~pingwang
Last updated on 02/12/07