Thomas C. M. Lee

	2010
19		Hsin-Cheng Huang, Thomas C. M. Lee: Stabilized thresholding with generalized sure for image denoising. ICIP 2010: 1881-1884
18		Alexander Aue, Thomas C. M. Lee: Statistically consistent image segmentation. ICIP 2010: 2229-2232
17		Ngai-Hang Chan, Thomas C. M. Lee, Liang Peng: On nonparametric local inference for density estimation. Computational Statistics & Data Analysis 54(2): 509-515 (2010)
16		Randy C. S. Lai, Thomas C. M. Lee, Raymond K. W. Wong, Fang Yao: Nonparametric cepstrum estimation via optimal risk smoothing. IEEE Transactions on Signal Processing 58(3): 1507-1514 (2010)
15		Raymond K. W. Wong, Randy C. S. Lai, Thomas C. M. Lee: Structural break estimation of noisy sinusoidal signals. Signal Processing 90(1): 303-312 (2010)
	2009
14		Thomas C. M. Lee, Zhengyuan Zhu: Nonparametric spectral density estimation with missing observations. ICASSP 2009: 3041-3044
	2008
13		Haonan Wang, Thomas C. M. Lee: Extraction of curvilinear features from noisy point patterns using principal curves. Pattern Recognition Letters 29(16): 2078-2084 (2008)
	2007
12		Haonan Wang, Thomas C. M. Lee: Curvilinear Feature Extraction for Noisy Point Pattern Images. ICME 2007: 1635-1638
11		Fang Yao, Thomas C. M. Lee: Spectral Density Estimation Using Sharpened Periodograms. IEEE Transactions on Signal Processing 55(9): 4711-4716 (2007)
10		Haipeng Shen, Zhengyuan Zhu, Thomas C. M. Lee: Robust estimation of the self-similarity parameter in network traffic using wavelet transform. Signal Processing 87(9): 2111-2124 (2007)
	2006
9		Haonan Wang, Thomas C. M. Lee: Automatic parameter selection for a k-segments algorithm for computing principal curves. Pattern Recognition Letters 27(10): 1142-1150 (2006)
	2005
8		Hee-Seok Oh, Thomas C. M. Lee: Hybrid local polynomial wavelet shrinkage: wavelet regression with automatic boundary adjustment. Computational Statistics & Data Analysis 48(4): 809-819 (2005)
	2004
7		Jan Hannig, Thomas C. M. Lee: Kernel smoothing of periodograms under Kullback-Leibler discrepancy. Signal Processing 84(7): 1255-1266 (2004)
6		Thomas C. M. Lee, Hee-Seok Oh: Automatic polynomial wavelet regression. Statistics and Computing 14(4): 337-341 (2004)
	2003
5		Thomas C. M. Lee: Smoothing parameter selection for smoothing splines: a simulation study. Computational Statistics & Data Analysis 42(1-2): 139-148 (2003)
4		Thomas C. M. Lee, Tan F. Wong: Nonparametric log spectrum estimation using disconnected regression splines and genetic algorithms. Signal Processing 83(1): 79-90 (2003)
	2001
3		Thomas C. M. Lee: A stabilized bandwidth selection method for kernel smoothing of the periodogram. Signal Processing 81(2): 419-430 (2001)
	1998
2		Thomas C. M. Lee: Segmenting Images Corrupted by Correlated Noise. IEEE Trans. Pattern Anal. Mach. Intell. 20(5): 481-492 (1998)
	1997
1		Thomas C. M. Lee, Mark Berman: Nonparametric Estimation and Simulation of Two-Dimensional Gaussian Image Textures. CVGIP: Graphical Model and Image Processing 59(6): 434-445 (1997)

Coauthor Index

1	Alexander Aue	[18]
2	Mark Berman	[1]
3	Ngai-Hang Chan	[17]
4	Jan Hannig	[7]
5	Hsin-Cheng Huang	[19]
6	Randy C. S. Lai	[15] [16]
7	Hee-Seok Oh	[6] [8]
8	Liang Peng	[17]
9	Haipeng Shen	[10]
10	Haonan Wang	[9] [12] [13]
11	Raymond K. W. Wong	[15] [16]
12	Tan F. Wong	[4]
13	Fang Yao	[11] [16]
14	Zhengyuan Zhu	[10] [14]

Colors in the list of coauthors

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