Dr. William G. Wee

Dr. Wee obtained his B.S.E.E. from Mapua Institute of Technology, Philippines in 1962, and the M.S.E.E. and Ph.D. degrees from Purdue University in 1965 and 1967, respectively. From 1967 to 1971, he worked with the Systems and Research Center of Honeywell, Inc. He joined the ECE Department at the University of Cincinnati in 1971 as an Associate Professor and was promoted to Professor of Electrical and Computer Engineering in 1977. He was on leave to Harvard University in the Fall of 1985. He was the Associate Head of the Computer Engineering Undergraduate Program in 1999. He was the Graduate Director of the department (2006 -2015).
 
 

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Research Interests

Dr. Wee's research interests are in the general area of artificial intelligence and computer vision. The former includes artificial neural networks and pattern recognition, while the latter includes 3-D filtering, solid and surface extraction and representation, reverse engineering using range and CT data, color picture and video compression, applications of 3-D data processing to machine inspection and manufacturing quality control, and biomedical applications.

Dr. Wee is a senior life member of the IEEE.

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Research Activities*

  Image and video processing and compression.

  Image denoising.

  Development to a framework for object understanding study applicable to 2-D and 3-D data.

  AI approach to image and video processing.

  2D-3D Image registration and flaw detection.

  Virtual reality application and calibration of multiple sets of acoustic emitters.

 

 

*Has continuous R &D support from GE Aviation for the last 30 years in the general area of 2-D and 3-D data processing.

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Dr. Wee is the director of the Multimedia and Augmented Reality Lab.
 
 

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Recent Publications

Journal and Peer Reviewed Conference Papers (after 1990) (Over 150 papers)

Shatakshi Chakraborty, Chia Y. Han, Xuefu Zhou, William G. Wee, “A Context Driven Human Activity Recognition Framework,” 2nd International Conference on Health Informatics and Medical Systems (HIM3870), July 25-28, 2016, Las Vegas.

Kan Wang, Junye Luo, Patrick Howard, Andrew Ferro, William G. Wee,” Interior Surface Unwrapping System of Volume CT Data”, 2015 International Conference on Computational Science and Computational Intelligence (CSCI), 7-9 Dec. 2015, Las Vegas.

X. Xiao , P. Howard, A. Ferro, T. Ma, C. Y. Han, X. Zhou and W.Wee, " Automated X-ray Inspection with Imperfect Reference Data", in Preprint, 2015.

Zhen Jia, William Wee, and Bin Xie, “A Novel Approach for Image Restoration Using Matrix Completion”, submitted to IEEE Winter Conference on Applications of Computer Vision 2014.

Tao Ma, Xinhua Xiao, William Wee, Chia Yung Han, Xuefu Zhou, "A 3D Virtual Learning System for STEM Education", In Proceeding of Virtual, Augmented and Mixed Reality (VAMR), vol. 8526, pp. 63-72, Greece, Jun. 2014.

X. Xiao , A. Ferro, T. Ma, C. Y. Han, X. Zhou and W. Wee, “Adaptive Reference Image Set Selection in Automated X-Ray Inspection,” Journal of Electrical and Computer Engineering, vol. 2014, pp1-7, 2014.

Xinhua Xiao, Jin Quan, Andrew Ferro, Chia Y. Han, Xuefu Zhou, William G. Wee, “On selecting reference image models for anomaly detection in industrial systems”, SPIE Conference on Optical Engineering and Applications, San Diego, California, August 2013

Ma, T.,Wee, W., Han, Q., Zhou, X.F., A Study of Hand Fist Kinematics and Its Detection Method That Enhances Human-Machine Interaction, In Proceeding of International Conference on Multimedia and Human Computer Interaction (MHCI), Toronto, Canada, Jul. 2013.

Y. Sun, T. Ma, C. Y. Han, J. Ross and W. Wee, "A Study of Tracking System Using Multiple Emitter Towers", Advanced Materials Research Vols. 694-697 (2013), pp 927-935

T. Ma. "A Method for Single Hand Fist Gesture Input to Enhance Human Computer Interaction", 15th International Conference on Human-Computer Interaction (HCI), Las Vegas, Nevada, U.S., July 2013.

T. Ma. "Developing Operating Mode Distribution Inputs for MOVES using Computer Vision-based Vehicle Data Collector", the 92nd Transportation Research Board (TRB) Annual Meeting, Washington, DC, January 2013.

Jin Quan, William G. Wee, Chia Y. Han, Xuefu Zhou,"A New Poisson Noisy Image Denoising Method Based on the Anscombe Transformation", IPCV 2012, International Conference on Image Processing, Computer Vision, & Pattern Recognition, 2012.

Zhen Jia, Xuefu Zhou, Chia-Yung Han, William Wee, "A New 2D/3D Multi-Modality Image Registration Application for Non-Destructive Aircraft Engine Blade Evaluation", IPCV 2012, pp.773, International Conference on Image Processing, Computer Vision, & Pattern Recognition, 2012

Jin Quan, William G. Wee, Chia Y. Han, "A New Wavelet Based Image Denoising Method," dcc, pp.408, 2012 Data Compression Conference, 2012

Xinhua Xiao, Jin Quan, Andrew Ferro, Xuefu Zhou and William Wee, "An Approach to the Model-image Selection Problem of an Assisted Defect Recognition System", 37th Dayton-Cincinnati Aerospace Sciences Symposium, March 6th, 2012

Zhen Jia, Chia Yung Han, Xuefu Zhou and William Wee, "A 2D/3D Multi-Modality Image Registration Method for Non-Destructive Aircraft Engine Blade Evaluations", 37th Dayton-Cincinnati Aerospace Sciences Symposium, March 6th, 2012

Yi Sun, Ma Tao, Chia Y. Han, Joe Ross, and William G. Wee , "A Method to Determine Positional Accuracy of a Tracking System", 37th Dayton-Cincinnati Aerospace Sciences Symposium, March 6th, 2012

Xin Hu, Hui Peng, Joseph Kesler, Xiang Cai, William Wee, and Jing-Hui Lee, "An Improved Adaptive Smoothing Method", Springer-Everlag – Lecture Notes in Computer Science Image Analysis and Processing - ICIAP 2009, pp.757-765, September 2009.

William G. Wee and Songbo Wu, "A New Wavelet Based Image Denoising method," To appear in the Proceedings of WORLDCOMP - 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, July, 2009.

Xiaokun Li, Chia-Yung Han, and William G. Wee, "On Surface Reconstruction: A Priority Driven Approach," To appear in Journal on Computer-Aided Design (JCAD), 2009.

L. He, Z. Peng, B. Everding, X. Wang, C.Y. Han, K. L. Weiss, and W. G. Wee, "A Comparative Study of Deformable Contour Methods on Medical Image Segmentation," Image and Vision Computing, Vol. 26, No. 2, pp. 141-163, Feb. 2008.

Xiaokun Li and William G. Wee, "Sensor Error Modeling and Compensation for Range Images Captured by A 3D Ranging System," Measurement Sciences and technology, 19, 2008.

X. Wang, F. Gao, Z. Peng, and W. G. Wee, "An Integrated Approach to the Segmentation and Recognition of Objects Using Level Set and Thin Plate Spline Method," Int. J. Intelligent Systems Technologies and Applications, Vol. 3, No. 3/4, pp. 211-225, 2007

X. Wang, F. Gao, and W. G. Wee, "Mean Field Annealing Deformable Contour Method: A Constrained Global Optimization Approach", Int. J. Information and Systems Sciences, Vol. 3, No. 3, pp. 453-478, 2007.

Z. Peng, X. Cai, W. G. Wee, and J. H. Lee, "3D Method of Using Spatial-Varying Gaussian Mixture and Local Information to Segment MR Brain Volume", International Conference on Image Analysis and Recognition, September, 2006, Portugal. 

X. Cai, Y. Hou, C. Li, J. H. Lee, and W. G. Wee, "Evaluation of Two Segmentation Methods on MRI Brain Tissue," IEEE 2006 International Conference of the Engineering in Medicine and Biology Society, August, 2006, New York City, New York.

L. He, C. Y. Han, W. G. Wee, "Object Recognition and Recovery by Skeleton Graph," Proceedings on 2006 IEEE International Conference on Multimedia and Expo, pp. 993-996, July 2006, Toronto, Canada.

Z. Peng, W. G. Wee, and J. H. Lee, "Automatic Segmentation of MR Brain Images Using Spatially Varying Gaussian Mixture and Markov Random Field Approach", IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition, June 2006, New York City, New York.

X. Li and W. G. Wee, "A Data Fusion Method for 3D Object Reconstruction from Range Images," Optical Engineering (OE), Vol. 44(10), Article ID (107706) page 1-11, Oct. 2005.

Z. Peng, W. G. Wee, and J. H. Lee, "MR Brain Imaging Segmentation Based on Spatial Gaussian Mixture Model and Markov Random Field", IEEE International Conference on Image Processing, Vol.1, pp. 313-316, September 2005, Genoa, Italy.

Z. Peng, J. Zhong, W. G. Wee, and J. H. Lee, "Automated Vertebra Segmentation and Quantification Algorithm of the Whole Spine MR Images", 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, September 2005, Shanghai, China       

Z. Peng, W. G. Wee, and J. H. Lee, "A New Model Based Method to Automatic MR Brain Image Segmentation", Proceedings of 13th Annual Meeting of International Society for Magnetic Resonance in Medicine, 2005, Miami, Florida.

X. Li, C. Han, W. G. Wee, "Surface Reconstruction of 3D Objects," Int. Conf. on Computer Vision and Graphics (ICCVG2004), pp. 642-647, Sept. 2004, published by
Springer in the book series COMPUTATIONAL IMAGING AND VISION, Vol. 32, 2006 (ISBN: 1-4020-4178-0)

L. He, K. Zhang, and W. G. Wee, “Constrained Optimization Approach for 3D Human Brain Image Segmentation”, 8th International Conference on Computing, Communications and Control technologies (CCCT), August 2004, Austin, Texas.

 

X. Wang, L. He, and W G. Wee, “Deformable Contour Method: A Constrained Optimization Approach”, International Journal of Computer Vision, 59(1): 87-108, August 2004.

 

L. He, C.Y. Han, X. Wang, B. Everding, and W. G. Wee, “Graph Matching for Object Recognition and Recovery”, Pattern Recognition, p1561-1564, Vol. 37, No. 7, July 2004

 

X. Li, and W. G. Wee, “Range Image Fusion for Object Reconstruction and Modeling”, Proceedings of The 1st Canadian Conference on Computer and Robot Vision, p 306-313, May 2004.

 

Z. Peng, W. G. Wee, J. Zhong, and J. H. Lee, “Segmentation of B1 Inhomogeneity MR Brain Image Using Mixture Gaussian Model and Markov Random Field”, Proceedings of 12th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM’2004) May 2004.

 

X. Li, F. Gao, C.Y. Han, B. Everding, X. Wang and W.G. Wee, “ An Accurate Registration Method for Large Object Surface Reconstruction from Range Images”, WSEAS Transactions on Circuits and Systems p502-507, Issue 3, Vol. 3, May 2004. 

 

X. Li, and W. G. Wee, “Integration Method for 3D Model Reconstruction”, The 16th Annual     Symposium  Electronic Imaging January 18-24, 2004, San Jose, California.

 

C. Han, X. Wang, F. Gao, Z. Peng, X. Li, L. He, and W. G. Wee, “On Constrained Optimization Approach to Object Segmentation”, WSEAS Transactions on Biology and Biomedicine, p150-160, Issue 1, Vol. 1, January 2004.

 

X. Wang, Z. Peng, F. Gao, and W.G. Wee, “Deformable Contour Method Based on the Variational Approach to a Constrained Optimization Formulation”, IEE Electronics Letters Vol. 40, No.2, p110-112, January 2004.

 

F. Gao, X. Li, X. Wang, and W. G. Wee, “Gradient Flow Optimization Approach for Block Effects Reduction of Transform Coding”, International Journal of Applied Math & Computer Science, Vol.14, No.1, p105-111, 2004.

 

F. Gao, X. Wang, Y. Zhao and W. G. Wee, “Wavelet Based Vector Clustering Computation to Embedded Coding”, Proceedings of the 2nd International Conference on Computational Intelligence, Robotics, and Autonomous Systems (CIRAS), December 2003, Singapore.

 

X. Wang, Z. Peng, F. Gao, and W. G. Wee, “A Model Set Based Object Segmentation Method Using Level Set Approach”, Proceedings of the VIIth Biennial Australia Pattern Recognition Society Conference – DICTA 2003 (Digital Image Computing: Techniques and Applications) Volume II, p967-976, December 2003.

 

X. Wang, F. Gao, Z. Peng, L. He, and W. G. Wee, “An Integrated Approach to the Segmentation and Recognition of Objects using Thin Plate Spline Method”, Proceedings of 16th International Conference on Vision Interface, June 2003, Halifax, Canada, p188-195.

 

C. Y. Han, H. Chen, L. He and W. G. Wee, “A Web-based Distributed Image Processing System”, IS&T/SPIE’s 15th Annual Symposium, January 2003, Santa Clara, California.

 

X. Li, L. He, B. Everding, C. Y. Han and W. G. Wee, “Accurate Surface Reconstruction of Large 3D Objects from Range Data”, IS&T/SPIE’s 15th Annual Conference, January 2003, San Jose, California.

 

X. Wang, L. He, C.Y. Han, W.G. Wee, "Deformable contour method: a constrained optimization approach", British Machine Vision Conference 2002, pp. 183-192.

 

X. Li, F. Gao, B. Everding, L. He, W.G. Wee, "Error analysis, modeling, and correction for 3D range data", IEEE International Conference on Image Processing, Vol. III, p.873-876, 2002.

 

L. He, C.Y. Han, X. Wang, W.G. Wee, "A skeleton-based shape matching and recovery approach", IEEE International Conference on Image Processing, Vol. III, pp.789-792, 2002.

 

X. Wang, L. He, W.G. Wee, "Constrained optimization: a geodesic snake approach", IEEE International Conference on Image Processing, Vol. II, pp.77-80, 2002.

 

F. Gao, X. Li, W.G. Wee, "A new wavelet based deblocking algorithm for compressed images", Proceedings of 36th Asilomar Conference on Signals, Systems and Computers, IEEE 2002, pp. 1745-1748.

 

X. Wang, L. He, Y. Tang, W.G. Wee, "A divide and conquer deformable contour method with a model based searching algorithm", IEEE Trans. on System, Man, and Cybernetics, Part B: Cybernetics, Vol. 33, No.5, p 738-751, October 2003.

 

Wen Jian Wang, X. Wu, W.G. Wee, "Computed-tomography-based Precision Inspection and Shape Extraction Using Facet Model",  Optical Engineering, Vol.39, No.1, p114-126, Jan. 2000.

 

X. S. Zhou, R. Yin, W. Wang, X. Wu, W. G. Wee, "Calibration, Parameter Estimation and Acurracy Enhancement of a Four-dimensional Image Camera Turntable System", Optical Engineering, Vol.39, No.1, p170-174, Jan.2000.

 

X. Wang, W. G. Wee, "On a new deformable contour method", IEEE International Conference on Image Analysis and Processing ICIAP, p430-435, Sept. 1999.

 

A. Nolan, B. Everding, W. G. Wee, "Effects of Nondeterminism On the Predicted Speedup of Scheduling Low Level Computer Vision Algorithms on Networks of Heterogeneous Machines," Advances in Parallel Computing, vol. 11, p231-238, Elsevier Science, 1996.

 

S. Krovvidy, W.G.Wee, M Suindan, R. Scott, J. Coleman, and L. Rossman, "Intelligent Sequence Planning for Wastewater Treatment Systems," IEEE Expert, 15-20, Vol. 9, No. 6, Dec. 1994.

 

Y. L. Hu, and W .G. Wee, "A Hierarchical System for Economic Dispatch with Environmental Constraints," IEEE-T-Power Systems, p1076-1082,  May 1994.

 

S. Krovvidy, W.G. Wee, R.S. Summers, J.J. Coleman, "An AI Approach for Wastewater Treatment System," Journal of Applied Intelligence, 1, pp. 247-261, 1991.

 

C.Y. Han, K.N. Lin, W.G. Wee, D.T. Porembka,and R. Mintz, "A Knowledge-Based Image Analysis for Automated Boundary Extraction of TEE Left-Ventricular Images," IEEE Trans. on Medical Imaging, Vol. 10, No. 4, pp. 602-610, Dec. 1991.

 

A. Niu, C.Y. Han, W.G. Wee, "A New 3-D Reconstruction Method Using Algebraic Reconstruction Techniques," Journal of X-Ray Science and Technology, 2, pp.95-116, 1990.

 

K. Roberts, A. Niu, C.Y. Han, and W.G. Wee, "Optimization of a 3-D Algebraic Reconstruction Program on a Cray Y-MP," Supercomputer, 15-22, 1990.

 

C.Y. Han and W.G. Wee, "Vision Expert System for Material Inspection," Journal of Metals, July, pp.25-27, 1990 (Invited)

 

Selected list of publications before 1990

K.H. Chang and W.G.Wee, "A planning model with problem analysis and operator hierarchy," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 10, pp.672-676, 1988.

 

K.H. Chang and W.G.Wee, "A knowledge based planning system for mechanical assembly using robots," IEEE Experts, vol. 3, no. 1, pp.18-30, 1988.

 

J.G. Leu and W.G.Wee, "A structural approach to image analysis and synthesis," Computer Vision, Graphics, and Image Processing, vol. 31, pp.67-88, 1985.

 

Sun and W.G.Wee, "Neighboring gray level dependence matrix for texture classification," Computer Vision, Graphics, and Image Processing, 1983.

 

W.G.Wee, "On pattern recognition and picture processing," Chapter 5 in Computers in Chemistry and Instrumentation, pp.157-273, vol.5, Aug. 1976.

 

W.G.Wee, "Generalized inverse approach to clustering, feature selection, and classification," IEEE Trans. on Information Theory, pp.262-269, vol.IT-17, no. 3, May 1971.

 

W.G.Wee, "On feature selection in a class of distribution-free pattern classifiers," IEEE Trans. on Information Theory, pp.47-55, vol.IT-16, no. 1, Jan. 1970.

 

W.G.Wee and K.S. Fu, "A formulation of fuzzy automata and its applications as a model of learning systems," IEEE Trans. on Systems Science and Cybernetics, pp.215-233, vol.ssc-5, no. 3, July 1969.

 

W.G.Wee, "Generalized inverse approach to adaptive multiclass pattern classification," IEEE Trans. on Computers, pp.1157-1164, vol.C-17, no. 2, December 1969.

 

W.G.Wee and K.S. Fu, "An extension of the generalized inverse algorithm to multiclass pattern classification" IEEE Trans. on Systems Science and Cybernetics, pp.192-194, vol.ssc-4, no. 2, July 1968

 

W.G.Wee and K.S. Fu, "An adaptive procedure for multiclass pattern classification," IEEE Trans. on Computers, pp. 178-182, vol. C-17, no. 2, Feb. 1968.

 

E. Santor and W.G.Wee, "General formulation of sequential machines," Information and Control, pp. 5-10, vol. 12, Jan. 1968.

 

Book Chapter and Report

C.Y. Han and W.G. Wee, "A Problem Solving System for Data Analysis, Pattern Classification and Recognition," Chapter 13, 279-299 of Hybrid Architecture for Intelligent Systems, edited by A. Kandel and G. Langholz, CRC Press, 1992.

 

S. Krovvidy & W.G. Wee, "An Intelligent Hybrid System for Wastewater Treatment," Chap. 17, 357-377 of Hybrid Architecture for Intelligent Systems, edited by A. Kandel & G. Langholz, CRC Press, 1992.

 

A. Niu and W.G. Wee, "Rewo's Filter and Image Segmentation," 162-190, Chapter 6 of Advances in Image Analysis, edited by Y. Mahdavieh and R.C. Gonzales, SPIE Optical Engineering Press, 1992.

 

W. G. Wee and C. Y. Han, Biomedical Image Processing and Application, under review.

 

Conference Papers

X. Wang, L. He, Z. Peng, W.G.Wee, "An annealing deformable contour", submitted to ACM Symposium of Applied Computing (SAC) 2003.

X. Li, L. He, B. Everding, C.Y. Han, W.G. Wee, "Accurate surface reconstruction of large 3D objects from ranging data", accepted by SPIE and IS&T's Electronic Imaging, 2003.

C.Y. Han, H. Chen, L. He, W.G. Wee, "A web-based distributed image processing system", submitted to SPIE and IS&T's Electronic Imaging, 2003

X. Wang, W.G. Wee, "A Deformable Contour Method: Divide and Conquer Approach", IEEE International Symposium on Bio-Informatic& Biomedical Engineering, pp.355-362, 2000.

Y.Tang, Lei He, X.Wang, W.G.Wee, "A Model Based Contour Searching Method", IEEE International Symposium on Bio-Informatic& Biomedical Engineering, pp.347-354, 2000.

W.Wang, W.G.Wee, "Three-dimensional data processing for inspection", SPIE Nondestructive Evaluation of Aging Infrastructures & Manufacturing, Mar. 1999.

Robert D. Rosemau, Sal Nawas, A.Niu, W.G.Wee, "Aircraft Engine Blade Cooling Holes Detection and Classification from Infrared Images", SPIE Nondestructive Evaluation of Aging Infrastructures & Manufacturing, March 1999.

W.Wang, W.G.Wee, X.Wang, "Volumetric segmentation of the visible human data set", The Second Visible Human Project Conference, Oct. 1998.

W.Wang, W.G.Wee, "Texture classification using wavelet maxima representation",SPIE 12th International Symposium on Aerospace/Defense Sensing, Simulation and Controls, Apr. 1998.

Sean X. Zhou, W.G.Wee, "Adaptive order statistic filter for noise characterization and suppression using noisy reference", SPIE 12th International Symposium on Aerospace/Defense Sensing, Simulation and Controls, Apr. 1998.

J.Chen, W.G.Wee, "Regional adaptive resolution-based fractal block coding",SPIE 12th International Symposium on Aerospace/Defense Sensing, Simulation and Controls, Orlando,Florida, Apr. 1998.

W.G.Wee, X.Li, A.Niu, "Multiprocessor-based automatic hail flow image processing system", SPIE 12th International Symposium on Aerospace/Defense Sensing, Simulation and Controls, Orlando,Florida, Apr. 1998.

X. Wu, W.G. Wee, "Surface Detection With Subvoxel Accuracy Using 3-D Directional Derivatives," Image Registration Workshop, 1997.

A.R. Nolan, B.S. Everding, W.G. Wee, "Scheduling of Low Level Vision Algorithms on Networks of Heterogeneous Machines," Proc. of Computer Architectures for Machine Perception, Como Italy, Sep. 1995.

A.R. Nolan, B.S. Everding, W.G. Wee,"Polynomial Time Scheduling of Low Level Vision Algorithms on Networks of Heterogeneous machines," International Conference on Parallel Processing, Stockholm Sweden, Aug. 1995.

A.R. Nolan, B.S. Everding, W.G. Wee,"Performance Issues of a Automated Visual Inspection Sysem (AVIS)," Proc. 30th Joint Propulsion Conference and Exibit, Indianapolis, Jun. 1994.

A.R. Nolan, B.S. Everding, W.G. Wee,"Generalization of an Automated Visual Inspection System (AVIS)," SAE Aerospace Atlantic Conference, Dayton, Ohio, Apr. 1994.

Y.L. Hu and W.G. Wee, "Robust Three-dimensional Part Extraction from Range Images with Defomable Superquadric Models," Scheduled for SPIE Apr. 1995 Proceessing

A. Niu, S. Wang, W.G. Wee, "Space Target Position Determination During Rendezvous and Docking by Neural Network," International Conf. on Intelligent autonomous Control in Aerospace '95, Aug. 14-16, 1995. p.234-240.

Y. Tang, A. Niu, W.G. Wee & C.Y. Han, "An Automated Inspection Syste for Detection Metal Surface Cracks from Fluorescent Penetrant Images," SPIE Machine Vision Applications in Industrial Inspection, Feg. 1995.

Y. Tang and W.G.Wee, "Fractal-based image compression: a fast algorithm using wavelet transform," 1674-1682, SPIE - Visual Communications and Image Processing, Vol. 2308, Sept. 1994.

G. Buchheim and W.G. Wee, "Prototype Expert Systems for Preventive Control in Power Plants," Proc. of SPIE's OE/Aerospace Sensing, 1991, Vol. 1468, 1468-03.

Y. Tang, W.G. Wee and C.Y. Han, "Application of a Multilayer Network in Image Object Classification," Proc. of SPIE's OE/Aerospace Sensing 1991, Vol. 1469, 1469-14.

L. Wan, D. Li, W.G. Wee, C.Y. Han and D.T. Porembka, "ANN Approach for 2-D Echocardiographic Image Processing: Application of Neocognitron Model to LV Boundary Formation," Proc. of SPIE's OE/Aerospace Sensing 1991, Vol. 1469, 1469-74.

A. Niu, D. Li, L. Wan and W.G. Wee, "Comparative Study of Model Fitting by Using Neural Network and Regression," Proc. of SPIE's OE/Aerospace Sensing 1991, Vol. 1469, 1469-53.

A.R. Nolan, Y.L. Hu and W.G. Wee, "X-ray Inspection Utilizing KNowledge Based Feature Isolation with a Neural Network Classifier," Proc. of SPIE's OE/Aerospace Sensing 1991, Vol. 1472, 1472-20.

N.G. Amladi, M.K. Finegan, Jr., and W.G. Wee, "Semi-automatic X-ray Inspection System," Proc. of SPIE's OE/ Aerospace Sensing 1991, Vol. 1472, 1472-21.

S. Krovvidy, W.G. Wee and C.Y. Han, "Case-based Reasoning Approach for Heuristic Search," Proc. of SPIE's OE/Aerospace Sensing 1991, Vol. 1468, 1468-21.

Y.L. Hu, W.G. Wee, W.A. Gruver and C.Y. Han, "Computer Vision for Automated Inspection of Molded Plastic Printwheels," Proc. of SPIE's OE/Aerospace Sensing 1991, Vol. 1468, 1468-64.

B.R. McGuire and W.G. Wee, "Rule-based programming for industrial automation," Artificial Intelligence in Design IFS/Springer-Verlag AI in Industry Series, 1991.

A. Niu, W.G. Wee and C.Y. Han, "Image Reconstruction from Cone Beam Scanning Using ART with Cylindrical Voxel Model," Proc. of IEEE 1990 Nuclear Science Symp., Medical Imaging Conference, Oct. 23-27, 1990.

S. Krovvidy and W.G. Wee, "A Knowledge Based Planning Approach for Waste Water Treatment System," to appear in the Proceedings of Third International Conference on Industrial and Engineering Applications/Artificial Intelligence and Expert Systems, Charleston, South Carolina, July 15-18, 1990.

S. Krovvidy and W.G. Wee, "A Knowledge Based Neural Network Approach for Waste Water Treatment System," to appear in the Proceedings of 1990 International Joint Conference on Neural Networks, San Diego, CA, June 17-21, 1990.

D. Li, M.R. Spicer, and W.G. Wee, "Training A Neocognitron Neural Net for Gray Level Images," Proceedings of International neural Netowrk Conference (INNC- 90-PARIS) July 9-13, 1990.

C.Y. Han, L.Wan, W.G. Wee, "KIPSE1-A Knowledge-Based Interactive Problem Solving Environment for Data Estimation and Pattern Classification," Proceedigs of Conference on AI for Space Applications, May 22-23 1990.

 

 

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Students

Current Ph.D. Students

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Current MS Students

 

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Last modified: Septemper. 9, 2016