| Year |
Citation |
Score |
| 2020 |
Jung YM, Whang JJ, Yun S. Sparse probabilistic K-means Applied Mathematics and Computation. 382: 125328. DOI: 10.1016/J.Amc.2020.125328 |
0.312 |
|
| 2019 |
Ahn CY, Yun S. A mathematical model for the 3d location estimation of 2D echocardiography data Applied Mathematics Letters. 88: 186-192. DOI: 10.1016/J.Aml.2018.08.027 |
0.356 |
|
| 2019 |
Lee JH, Jung YM, Yuan Y, Yun S. A subspace SQP method for equality constrained optimization Computational Optimization and Applications. 74: 177-194. DOI: 10.1007/S10589-019-00109-6 |
0.509 |
|
| 2017 |
Jung YM, Jeong T, Yun S. Non-convex TV denoising corrupted by impulse noise Inverse Problems and Imaging. 11: 689-702. DOI: 10.3934/Ipi.2017032 |
0.379 |
|
| 2017 |
Ahn CY, Yun S. A study on the 3D position estimation of ventricular borders extracted from 2D echocardiography data Computers & Mathematics With Applications. 75: 1143-1158. DOI: 10.1016/J.Camwa.2017.10.025 |
0.332 |
|
| 2016 |
Kum S, Yun S. Incremental Gradient Method for Karcher Mean on Symmetric Cones Journal of Optimization Theory and Applications. 1-15. DOI: 10.1007/S10957-016-1000-4 |
0.515 |
|
| 2015 |
Jung YM, Yun S. Impedance imaging with first-order TV regularization. Ieee Transactions On Medical Imaging. 34: 193-202. PMID 25163059 DOI: 10.1109/Tmi.2014.2351014 |
0.439 |
|
| 2015 |
Jung YM, Yun S. A coordinate descent homotopy method for linearly constrained nonsmooth convex minimization Optimization Methods and Software. DOI: 10.1080/10556788.2015.1088851 |
0.465 |
|
| 2015 |
Lee CO, Lee JH, Woo H, Yun S. Block Decomposition Methods for Total Variation by Primal–Dual Stitching Journal of Scientific Computing. 1-30. DOI: 10.1007/S10915-015-0138-9 |
0.359 |
|
| 2014 |
Yun S. On the iteration complexity of cyclic coordinate gradient descent methods Siam Journal On Optimization. 24: 1567-1580. DOI: 10.1137/130937755 |
0.512 |
|
| 2014 |
Tseng P, Yun S. Incrementally Updated Gradient Methods for Constrained and Regularized Optimization Journal of Optimization Theory and Applications. 160: 832-853. DOI: 10.1007/S10957-013-0409-2 |
0.628 |
|
| 2014 |
Kuang D, Yun S, Park H. SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering Journal of Global Optimization. 62: 545-574. DOI: 10.1007/S10898-014-0247-2 |
0.319 |
|
| 2013 |
Kang M, Yun S, Woo H. Two-Level Convex Relaxed Variational Model for Multiplicative Denoising Siam Journal On Imaging Sciences. 6: 875-903. DOI: 10.1137/11086077X |
0.3 |
|
| 2013 |
Woo H, Yun S. Proximal Linearized Alternating Direction Method For Multiplicative Denoising Siam Journal On Scientific Computing. 35. DOI: 10.1137/11083811X |
0.445 |
|
| 2013 |
Jeong T, Woo H, Yun S. Frame-based Poisson image restoration using a proximal linearized alternating direction method Inverse Problems. 29: 75007. DOI: 10.1088/0266-5611/29/7/075007 |
0.492 |
|
| 2013 |
Oh S, Woo H, Yun S, Kang M. Non-convex hybrid total variation for image denoising Journal of Visual Communication and Image Representation. 24: 332-344. DOI: 10.1016/J.Jvcir.2013.01.010 |
0.389 |
|
| 2013 |
Kang M, Yun S, Woo H, Kang M. Accelerated Bregman Method for Linearly Constrained \(\ell _1\)–\(\ell _2\) Minimization Journal of Scientific Computing. 56: 515-534. DOI: 10.1007/S10915-013-9686-Z |
0.49 |
|
| 2012 |
Yun S, Woo H. A new multiplicative denoising variational model based on mth root transformation. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 21: 2523-33. PMID 22287244 DOI: 10.1109/Tip.2012.2185942 |
0.416 |
|
| 2012 |
Woo H, Yun S. Alternating minimization algorithm for speckle reduction with a shifting technique. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 21: 1701-14. PMID 22106149 DOI: 10.1109/Tip.2011.2176345 |
0.402 |
|
| 2011 |
Shen Z, Toh K, Yun S. An Accelerated Proximal Gradient Algorithm for Frame-Based Image Restoration via the Balanced Approach Siam Journal On Imaging Sciences. 4: 573-596. DOI: 10.1137/090779437 |
0.392 |
|
| 2011 |
Yun S, Woo H. Linearized proximal alternating minimization algorithm for motion deblurring by nonlocal regularization Pattern Recognition. 44: 1312-1326. DOI: 10.1016/J.Patcog.2010.12.013 |
0.406 |
|
| 2011 |
Yun S, Toh K. A coordinate gradient descent method for l 1-regularized convex minimization Computational Optimization and Applications. 48: 273-307. DOI: 10.1007/S10589-009-9251-8 |
0.496 |
|
| 2011 |
Yun S, Tseng P, Toh K. A block coordinate gradient descent method for regularized convex separable optimization and covariance selection Mathematical Programming. 129: 331-355. DOI: 10.1007/S10107-011-0471-1 |
0.661 |
|
| 2010 |
Tseng P, Yun S. A coordinate gradient descent method for linearly constrained smooth optimization and support vector machines training Computational Optimization and Applications. 47: 179-206. DOI: 10.1007/S10589-008-9215-4 |
0.612 |
|
| 2010 |
Toh KC, Yun S. An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems Pacific Journal of Optimization. 6: 615-640. |
0.391 |
|
| 2009 |
Tseng P, Yun S. Block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization Journal of Optimization Theory and Applications. 140: 513-535. DOI: 10.1007/S10957-008-9458-3 |
0.63 |
|
| 2009 |
Tseng P, Yun S. A coordinate gradient descent method for nonsmooth separable minimization Mathematical Programming. 117: 387-423. DOI: 10.1007/S10107-007-0170-0 |
0.633 |
|
| Show low-probability matches. |