PCA consistency in high dimension, low sample size context S Jung, JS Marron | 369 | 2009 |
Analysis of principal nested spheres S Jung, IL Dryden, JS Marron Biometrika 99 (3), 551-568, 2012 | 181 | 2012 |
Boundary behavior in high dimension, low sample size asymptotics of PCA S Jung, A Sen, JS Marron Journal of Multivariate Analysis 109, 190-203, 2012 | 76 | 2012 |
Nested sphere statistics of skeletal models SM Pizer, S Jung, D Goswami, J Vicory, X Zhao, R Chaudhuri, JN Damon, ... Innovations for Shape Analysis: Models and Algorithms, 93-115, 2013 | 75 | 2013 |
Principal arc analysis on direct product manifolds S Jung, M Foskey, JS Marron | 63 | 2011 |
Incorporating covariates into integrated factor analysis of multi‐view data G Li, S Jung Biometrics 73 (4), 1433-1442, 2017 | 38 | 2017 |
Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data SE Safo, J Ahn, Y Jeon, S Jung Biometrics 74 (4), 1362-1371, 2018 | 29 | 2018 |
Generalized PCA via the backward stepwise approach in image analysis S Jung, X Liu, JS Marron, SM Pizer Brain, Body and Machine: Proceedings of an International Symposium on the …, 2010 | 29 | 2010 |
Object shape representation via skeletal models (s-reps) and statistical analysis SM Pizer, J Hong, J Vicory, Z Liu, JS Marron, H Choi, J Damon, S Jung, ... Riemannian Geometric Statistics in Medical Image Analysis, 233-271, 2020 | 24 | 2020 |
Scaling-rotation distance and interpolation of symmetric positive-definite matrices S Jung, A Schwartzman, D Groisser SIAM Journal on Matrix Analysis and Applications 36 (3), 1180-1201, 2015 | 24 | 2015 |
Analysis of rotational deformations from directional data J Schulz, S Jung, S Huckemann, M Pierrynowski, JS Marron, SM Pizer Journal of Computational and Graphical Statistics 24 (2), 539-560, 2015 | 23 | 2015 |
Dimension reduction on polyspheres with application to skeletal representations B Eltzner, S Jung, S Huckemann Geometric Science of Information: Second International Conference, GSI 2015 …, 2015 | 20 | 2015 |
On the number of principal components in high dimensions S Jung, MH Lee, J Ahn Biometrika 105 (2), 389-402, 2018 | 19 | 2018 |
Combined analysis of amplitude and phase variations in functional data S Lee, S Jung arXiv preprint arXiv:1603.01775, 2016 | 18 | 2016 |
Speculation on the generality of the backward stepwise view of pca JS Marron, S Jung, IL Dryden Proceedings of the international conference on multimedia information …, 2010 | 17 | 2010 |
Penalized orthogonal iteration for sparse estimation of generalized eigenvalue problem S Jung, J Ahn, Y Jeon Journal of Computational and Graphical Statistics 28 (3), 710-721, 2019 | 16 | 2019 |
A statistical approach to set classification by feature selection with applications to classification of histopathology images S Jung, X Qiao Biometrics 70 (3), 536-545, 2014 | 16 | 2014 |
Geometric foundations for scaling-rotation statistics on symmetric positive definite matrices: Minimal smooth scaling-rotation curves in low dimensions D Groisser, S Jung, A Schwartzman | 15 | 2017 |
Respiratory motion prediction and prospective correction for free‐breathing arterial spin‐labeled perfusion MRI of the kidneys H Song, D Ruan, W Liu, VA Stenger, R Pohmann, MA Fernández‐Seara, ... Medical physics 44 (3), 962-973, 2017 | 12 | 2017 |
Innovations for Shape Analysis, Models and Algorithms SM Pizer, S Jung, D Goswami, J Vicory, X Zhao, R Chaudhuri, JN Damon, ... Nested Sphere Statistics of Skeletal Models, 93-113, 2013 | 12 | 2013 |