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Last
update: August 23, 2006.
Refereed Conference Papers
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Lee, Thomas C. M. and Cowan, Richard (1994), "A Stochastic
Tessellation of Digital Space". In J. Serra and P. Soille, editors,
Mathematical Morphology and Its Applications to Image
Processing, 217-224, Kluwer Academic Publishers
[ps.gz].
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Lee, Thomas C. M. and Talbot, Hugues (1995), "A Fast Method
for Detecting and Matching Linear Features in Images",
Proceedings of DICTA-95, Digital Image Computing: Techniques and
Applications, Brisbane, 649-654 [ps.gz].
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Lee, Thomas C. M. (1997), "Segmenting Images Corrupted by
Correlated Noise", Proceedings of IEEE 1997 International
Conference on Image Processing, Santa Barbara, California,
Volumne 1, 247-250 [ps.gz].
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Lee, Thomas C. M. and Talbot, Hugues (1997), "Automatic
Reconnection of Linear Segments by the Minimum Description Length
Principle", Proceedings of DICTA-97, Digital Image Computing:
Techniques and Applications, Auckland, 555-560
[ps.gz].
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Storlie, Curtis; Davis, Chris; Hoar, Timothy; Lee, Thomas
C. M.; Nychka, Douglas; Weiss, Jeffrey and Whitcher, Brandon
(2004), "Identifying and Tracking Turbulence Structures",
Proceedings of the 38th Asilomar Conference on Signals, Systems,
and Computers, Pacific Grove, California, 1700-1704
[pdf].
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Lee, Thomas C. M. and Meng, Xiao-Li (2005), "A
Self-Consistent Wavelet Method for Denoising Images with Missing
Pixels", Proceedings of the 30th IEEE International Conference on
Acoustics, Speech, and Signal Processing Volume II, 41-44
[pdf (note: the typo in Eqn
(7) of the published version is corrected].
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Davis, Richard A.; Lee, Thomas C. M. and Rodriguez-Yam,
Gabriel A. (2005), "Structural Breaks Estimation for Non-stationary
Time Series Signals", Proceedings of the 2005 IEEE Workshop on
Statistical Signal Processing, in CD-ROM.
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Lee, Thomas C. M. and Wang, Haonan (2006), "On a
k-Segments Algorithm for Computing Principal Curves",
Proceedings of the 2006 IEEE Southwest Symposium on Image
Analysis and Interpretation, 183-187.
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Wong, Tan F. and Lee, Thomas C. M. (2006), "Multipath Model
Selection for UWB Channels", Proceedings of the 2006 IEEE
International Conference on Ultra-Wideband, to appear.
Comments, Discussions and Non-refereed Conference
Papers
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Hudson, H. Malcolm and Lee, Thomas C. M. (1995), Invited
comments on "The Fast Monte-Carlo Cross-Validation and $C_L$
Procedures: Comments, New Results and Application to Image Recovery
Problems" by D. A. Girard, Computational Statistics
10, 239-241.
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Lee, Thomas C. M. and Berman, Mark (1996), "Nonparametric
Estimation and Simulation of Two-Dimensional Gaussian Image
Textures", Proceedings of the Interface 28, 115-120
[ps.gz].
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Lee, Thomas C. M. (1999), "Curve Estimation using Wavelets
and MDL", Proceedings of the 52nd Session of the ISI
(invited). [ps.gz].
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Lee, Thomas C. M. (1999), "Robust Fitting of Discontinuous
Regression Functions", Proceedings of the Interface 31,
476-481 [ps.gz].
Technical Reports submitted for Publication
(send me a message for preprint(s))
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Shen, Haipeng; Zhu, Zhengyuan and Lee, Thomas C. M. (2004),
"Robust Estimation of Self-similarity Parameter in Network Traffic
using Wavelet Transform".
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Davis, Richard A.; Lee, Thomas C. M. and Rodriguez-Yam,
Gabriel A. (2005), "Break Detection for a Class of Nonlinear Time
Series Models".
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Oh, Hee-Seok; Nychka, Doug and Lee, Thomas C. M. (2005), "The
Role of Pseudo Data for Robust Smoothing with Application to Wavelet
Regression".
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Whitcher, Brandon; Lee, Thomas C. M.; Weiss, Jeffrey B.;
Nychka, Douglas W. and Hoar, Timothy J. (2005), "A Multiresolution
Census Algorithm for Calculating Vortex Statistics in Turbulent
Flows".
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Gilleland, Eric; Lee, Thomas C. M.; Halley-Gotway, John;
Bullock, Randy G. and Brown, Barb (2006), "Quantifying Differences
Between Defined Binary Image Objects of Forecast and Analysis of
Quantitative Precipitation for Forecast Verification".
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Storlie, Curtis B.; Lee, Thomas C. M.; Hannig, Jan and Nychka,
Douglas (2006), "Tracking of Multiple Merging and Splitting Targets
with Application to Convective Systems".
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Yao, Fang and Lee, Thomas C. M. (2006), "An Improved Knot
Placement Scheme for Penalized Spline Regression".
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