Thomas C. M. Lee

According to our database1, Thomas C. M. Lee authored at least 43 papers between 1994 and 2021.

Collaborative distances:



In proceedings 
PhD thesis 




Detecting Adversarial Examples with Bayesian Neural Network.
CoRR, 2021

Simultaneous Detection of Multiple Change Points and Community Structures in Time Series of Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Network Estimation via Graphon With Node Features.
IEEE Trans. Netw. Sci. Eng., 2020

Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models.
Technometrics, 2020

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting.
SIAM J. Math. Data Sci., 2020

Locally linear embedding with additive noise.
Pattern Recognit. Lett., 2019

Segmenting Dynamic Network Data.
CoRR, 2018

Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding.
CoRR, 2018

Block-wise Partitioning for Extreme Multi-label Classification.
CoRR, 2018

Consistent Estimation for Partition-Wise Regression and Classification Models.
IEEE Trans. Signal Process., 2017

Nonparametric modeling and break point detection for time series signal of counts.
Signal Process., 2017

High-dimensional variable selection in regression and classification with missing data.
Signal Process., 2017

Matrix Completion with Noisy Entries and Outliers.
J. Mach. Learn. Res., 2017

Computational issues of generalized fiducial inference.
Comput. Stat. Data Anal., 2014

Morphological feature extraction for statistical learning with applications to solar image data.
Stat. Anal. Data Min., 2013

Fiducial Inference.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Nonparametric cepstrum estimation via optimal risk smoothing.
IEEE Trans. Signal Process., 2010

Structural break estimation of noisy sinusoidal signals.
Signal Process., 2010

On nonparametric local inference for density estimation.
Comput. Stat. Data Anal., 2010

Stabilized thresholding with generalized sure for image denoising.
Proceedings of the International Conference on Image Processing, 2010

Statistically consistent image segmentation.
Proceedings of the International Conference on Image Processing, 2010

Nonparametric spectral density estimation with missing observations.
Proceedings of the IEEE International Conference on Acoustics, 2009

Extraction of curvilinear features from noisy point patterns using principal curves.
Pattern Recognit. Lett., 2008

Spectral Density Estimation Using Sharpened Periodograms.
IEEE Trans. Signal Process., 2007

Robust estimation of the self-similarity parameter in network traffic using wavelet transform.
Signal Process., 2007

Robust penalized regression spline fitting with application to additive mixed modeling.
Comput. Stat., 2007

Curvilinear Feature Extraction for Noisy Point Pattern Images.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Pattern Generation Using Likelihood Inference for Cellular Automata.
IEEE Trans. Image Process., 2006

Data Adaptive Median Filters for Signal and Image Denoising Using a Generalized SURE Criterion.
IEEE Signal Process. Lett., 2006

Automatic parameter selection for a <i>k</i>-segments algorithm for computing principal curves.
Pattern Recognit. Lett., 2006

Model Selection for the Competing-Risks Model With and Without Masking.
Technometrics, 2005

Hybrid local polynomial wavelet shrinkage: wavelet regression with automatic boundary adjustment.
Comput. Stat. Data Anal., 2005

A Self-Consistent Wavelet Method for Denoising Images with Missing Pixels.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Kernel smoothing of periodograms under Kullback-Leibler discrepancy.
Signal Process., 2004

Automatic polynomial wavelet regression.
Stat. Comput., 2004

Nonparametric log spectrum estimation using disconnected regression splines and genetic algorithms.
Signal Process., 2003

Smoothing parameter selection for smoothing splines: a simulation study.
Comput. Stat. Data Anal., 2003

A stabilized bandwidth selection method for kernel smoothing of the periodogram.
Signal Process., 2001

Erratum to: "Bandwidth Selection for Local Linear Regression: A Simulation Study" 4/1999, pp 515-532.
Comput. Stat., 2000

Bandwidth selection for local linear regression: A simulation study.
Comput. Stat., 1999

Segmenting Images Corrupted by Correlated Noise.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Nonparametric Estimation and Simulation of Two-Dimensional Gaussian Image Textures.
CVGIP Graph. Model. Image Process., 1997

A Stochastic Tessellation of Digital Space.
Proceedings of the 2nd International Symposium on Mathematical Morphology and Its Applications to Image Processing, 1994