Name
Affiliation
Papers
HEE-SEOK OH
Seoul National University, Department of Statistics, 151-747, Seoul, South Korea
39
Collaborators
Citations 
PageRank 
41
137
17.59
Referers 
Referees 
References 
412
578
293
Search Limit
100578
Title
Citations
PageRank
Year
Robust Geodesic Regression00.342022
Principal component analysis in the wavelet domain00.342021
Spherical Principal Curves.00.342021
Robust Multivariate Regression on Riemannian Manifolds00.342020
Image Decomposition by Bidimensional Ensemble Patch Transform00.342020
Multiscale Clustering for Functional Data00.342019
Enhancement of variational mode decomposition with missing values.20.372018
Deep Visual Discomfort Predictor for Stereoscopic 3D Images.00.342018
Enhancement of Visual Comfort and Sense of Presence on Stereoscopic 3D Images.30.382017
Identifying local smoothness for spatially inhomogeneous functions00.342017
A Survey of Measurement-Based Spectrum Occupancy Modeling for Cognitive Radios.451.132016
Stereoscopic 3D Visual Discomfort Prediction: A Dynamic Accommodation and Vergence Interaction Model80.452016
Spectrum measurement modelling and prediction based on wavelets.00.342016
Intrinsic Pattern Preserving Boundary Treatment Method for Empirical Mode Decomposition.00.342016
Visual Presence: Viewing Geometry Visual Information of UHD S3D Entertainment.20.362016
3D Visual Discomfort Predictor: Analysis of Disparity and Neural Activity Statistics160.592015
Implementation of Human Action Recognition System Using Multiple Kinect Sensors.10.352015
Quantile-Based Empirical Mode Decomposition: An Efficient Way to Decompose Noisy Signals40.462015
Cooperative content and radio resource allocation for visual information maximization in a digital signage scenario20.372015
A new sparse variable selection via random-effect model20.442014
Visually Weighted Compressive Sensing: Measurement and Reconstruction40.452013
The role of functional data analysis for instantaneous frequency estimation00.342013
Bayesian regression based on principal components for high-dimensional data00.342013
Bidimensional Statistical Empirical Mode Decomposition.60.522012
Extending the Scope of Empirical Mode Decomposition by Smoothing.90.692012
A Reinterpretation Of Emd By Cubic Spline Interpolation10.442011
Enhancement of spatially adaptive smoothing splines via parameterization of smoothing parameters20.472011
A new block compressive sensingto control the number of measurements00.342011
Cross-validated wavelet shrinkage10.372009
Robust wavelet shrinkage using robust selection of thresholds10.402009
EMD: A Package for Empirical Mode Decomposition and Hilbert Spectrum161.472009
Reliability functions estimated from commonly used yield models20.432008
Bayesian selection of primary resolution and wavelet basis functions for wavelet regression00.342008
Robust penalized regression spline fitting with application to additive mixed modeling10.402007
Hierarchical-likelihood-based wavelet method for denoising signals with missing data20.432006
Hybrid local polynomial wavelet shrinkage: wavelet regression with automatic boundary adjustment10.402005
Polynomial wavelet regression for images with irregular boundaries.10.452004
Automatic polynomial wavelet regression30.542004
Wavelet spectrum and its characterization property for random processes20.512002