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2020 – today
- 2024
[j44]Seungwoo Kang
, Hee-Seok Oh:
Probabilistic Principal Curves on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4843-4849 (2024)- [j43]Guebin Choi, Hee-Seok Oh:
Decomposition via elastic-band transform. Pattern Recognit. Lett. 182: 76-82 (2024) - [j42]Yeonjoo Park, Hee-Seok Oh, Yaeji Lim:
A data-adaptive dimension reduction for functional data via penalized low-rank approximation. Stat. Comput. 34(1): 36 (2024) - [j41]Seungwoo Kang, Hee-Seok Oh:
Novel sampling method for the von Mises-Fisher distribution. Stat. Comput. 34(3): 106 (2024) - [j40]Hyeonglae Cho, Hee-Seok Oh, Donghoh Kim:
GSD: An R package for graph signal decomposition. SoftwareX 26: 101753 (2024) - [j39]Joonpyo Kim, Hee-Seok Oh, Haeran Cho:
Moving Sum Procedure for Change Point Detection under Piecewise Linearity. Technometrics 66(3): 358-367 (2024) - 2023
- [j38]Minji Kim, Hee-Seok Oh, Yaeji Lim:
Zero-Inflated Time Series Clustering Via Ensemble Thick-Pen Transform. J. Classif. 40(2): 407-431 (2023) - [j37]Jongmin Lee, Hee-Seok Oh:
Robust spherical principal curves. Pattern Recognit. 138: 109380 (2023) - [j36]Guebin Choi, Hee-Seok Oh:
Elastic-band transform for visualization and detection. Pattern Recognit. Lett. 166: 119-125 (2023) - 2022
- [j35]Ha Young Shin, Hee-Seok Oh:
Robust Geodesic Regression. Int. J. Comput. Vis. 130(2): 478-503 (2022) - [j34]Jongmin Lee, Jang-Hyun Kim, Hee-Seok Oh:
spherepc: An R Package for Dimension Reduction on a Sphere. R J. 14(1): 167-181 (2022) - [j33]Hee-Seok Oh, Guebin Choi, Donghoh Kim:
Decomp2d: An R solution for image decomposition. SoftwareX 19: 101182 (2022) - 2021
- [j32]Jongmin Lee, Jang-Hyun Kim, Hee-Seok Oh:
Spherical Principal Curves. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2165-2171 (2021) - [j31]Yaeji Lim, Junhyeon Kwon, Hee-Seok Oh:
Principal component analysis in the wavelet domain. Pattern Recognit. 119: 108096 (2021) - [j30]Donghoh Kim, Hee-Seok Oh, Guebin Choi:
EPT: An R package for ensemble patch transform. SoftwareX 14: 100704 (2021) - 2020
- [j29]Donghoh Kim, Guebin Choi, Hee-Seok Oh:
Ensemble patch transformation: a flexible framework for decomposition and filtering of signal. EURASIP J. Adv. Signal Process. 2020(1): 30 (2020) - [j28]Joonpyo Kim, Hee-Seok Oh:
Pseudo-quantile functional data clustering. J. Multivar. Anal. 178: 104626 (2020) - [j27]Hee-Seok Oh, Donghoh Kim:
Image decomposition by bidimensional ensemble patch transform. Pattern Recognit. Lett. 135: 173-179 (2020) - [c1]Sangyul Lee, Hee-Seok Oh:
Robust Multivariate Regression on Riemannian Manifolds. DSAA 2020: 753-754 - [i1]Ha Young Shin, Hee-Seok Oh:
Robust Geodesic Regression. CoRR abs/2007.04518 (2020)
2010 – 2019
- 2019
- [j26]Yaeji Lim, Hee-Seok Oh, Ying-Kuen K. Cheung:
Multiscale Clustering for Functional Data. J. Classif. 36(2): 368-391 (2019) - 2018
- [j25]Guebin Choi, Hee-Seok Oh, Donghoh Kim:
Enhancement of variational mode decomposition with missing values. Signal Process. 142: 75-86 (2018) - 2017
- [j24]Dongik Jang, Hee-Seok Oh, Philippe Naveau:
Identifying local smoothness for spatially inhomogeneous functions. Comput. Stat. 32(3): 1115-1138 (2017) - 2016
- [j23]Donghoh Kim, Hee-Seok Oh:
Intrinsic Pattern Preserving Boundary Treatment Method for Empirical Mode Decomposition. Adv. Data Sci. Adapt. Anal. 8(2): 1650008:1-1650008:9 (2016) - [j22]Yunfei Chen, Hee-Seok Oh:
A Survey of Measurement-Based Spectrum Occupancy Modeling for Cognitive Radios. IEEE Commun. Surv. Tutorials 18(1): 848-859 (2016) - [j21]Yunfei Chen, Hee-Seok Oh:
Spectrum measurement modelling and prediction based on wavelets. IET Commun. 10(16): 2192-2198 (2016) - 2015
- [j20]Yaeji Lim, Hee-Seok Oh:
Simultaneous confidence interval for quantile regression. Comput. Stat. 30(2): 345-358 (2015) - [j19]Minsu Park, Donghoh Kim, Hee-Seok Oh:
Quantile-Based Empirical Mode Decomposition: An Efficient Way to Decompose Noisy Signals. IEEE Trans. Instrum. Meas. 64(7): 1802-1813 (2015) - 2014
- [j18]Youngjo Lee, Hee-Seok Oh:
A new sparse variable selection via random-effect model. J. Multivar. Anal. 125: 89-99 (2014) - 2013
- [j17]Minjeong Park, Sinsup Cho, Hee-Seok Oh:
The role of functional data analysis for instantaneous frequency estimation. Comput. Stat. 28(5): 1965-1987 (2013) - [j16]Jaeyong Lee, Hee-Seok Oh:
Bayesian regression based on principal components for high-dimensional data. J. Multivar. Anal. 117: 175-192 (2013) - 2012
- [j15]Donghoh Kim, Kyungmee O. Kim, Hee-Seok Oh:
Extending the Scope of Empirical Mode Decomposition by Smoothing. EURASIP J. Adv. Signal Process. 2012: 168 (2012) - [j14]Donghoh Kim, Minjeong Park, Hee-Seok Oh:
Bidimensional Statistical Empirical Mode Decomposition. IEEE Signal Process. Lett. 19(4): 191-194 (2012) - 2011
- [j13]Minjeong Park, Donghoh Kim, Hee-Seok Oh:
A Reinterpretation of EMD by cubic spline interpolation. Adv. Data Sci. Adapt. Anal. 3(4): 527-540 (2011) - [j12]Dongik Jang, Hee-Seok Oh:
Enhancement of spatially adaptive smoothing splines via parameterization of smoothing parameters. Comput. Stat. Data Anal. 55(2): 1029-1040 (2011)
2000 – 2009
- 2009
- [j11]Hee-Seok Oh, Donghoh Kim, Youngjo Lee:
Cross-validated wavelet shrinkage. Comput. Stat. 24(3): 497-512 (2009) - [j10]Donghoh Kim, Hee-Seok Oh:
EMD: A Package for Empirical Mode Decomposition and Hilbert Spectrum. R J. 1(1): 40 (2009) - [j9]Hee-Seok Oh, Donghoh Kim, Yongdai Kim:
Robust wavelet shrinkage using robust selection of thresholds. Stat. Comput. 19(1): 27-34 (2009) - 2008
- [j8]Chun Gun Park, Hee-Seok Oh, Hakbae Lee:
Bayesian selection of primary resolution and wavelet basis functions for wavelet regression. Comput. Stat. 23(2): 291-302 (2008) - [j7]Kyungmee O. Kim, Hee-Seok Oh:
Reliability functions estimated from commonly used yield models. Microelectron. Reliab. 48(3): 481-489 (2008) - 2007
- [j6]Thomas C. M. Lee, Hee-Seok Oh:
Robust penalized regression spline fitting with application to additive mixed modeling. Comput. Stat. 22(1): 159-171 (2007) - 2006
- [j5]Donghoh Kim, Youngjo Lee, Hee-Seok Oh:
Hierarchical-likelihood-based wavelet method for denoising signals with missing data. IEEE Signal Process. Lett. 13(6): 361-364 (2006) - 2005
- [j4]Hee-Seok Oh, Thomas C. M. Lee:
Hybrid local polynomial wavelet shrinkage: wavelet regression with automatic boundary adjustment. Comput. Stat. Data Anal. 48(4): 809-819 (2005) - 2004
- [j3]Thomas C. M. Lee, Hee-Seok Oh:
Automatic polynomial wavelet regression. Stat. Comput. 14(4): 337-341 (2004) - [j2]Philippe Naveau, Hee-Seok Oh:
Polynomial wavelet regression for images with irregular boundaries. IEEE Trans. Image Process. 13(6): 773-781 (2004) - 2002
- [j1]Ta-Hsin Li, Hee-Seok Oh:
Wavelet spectrum and its characterization property for random processes. IEEE Trans. Inf. Theory 48(11): 2922-2937 (2002)
Coauthor Index
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