Thinning methodologies-a comprehensive survey L Lam, SW Lee, CY Suen IEEE Transactions on Pattern Analysis & Machine Intelligence 14 (09), 869-885, 1992 | 2640 | 1992 |
The role of context for object detection and semantic segmentation in the wild R Mottaghi, X Chen, X Liu, NG Cho, SW Lee, S Fidler, R Urtasun, A Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 1629 | 2014 |
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis HI Suk, SW Lee, D Shen, Alzheimer's Disease Neuroimaging Initiative NeuroImage 101, 569-582, 2014 | 979 | 2014 |
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis HI Suk, SW Lee, D Shen, Alzheimer’s Disease Neuroimaging Initiative Brain Structure and Function 220, 841-859, 2015 | 579 | 2015 |
Applications of support vector machines for pattern recognition: A survey H Byun, SW Lee International workshop on support vector machines, 213-236, 2002 | 548 | 2002 |
Hybrid high-order functional connectivity networks using resting-state functional MRI for mild cognitive impairment diagnosis Y Zhang, H Zhang, X Chen, SW Lee, D Shen Scientific reports 7 (1), 6530, 2017 | 420 | 2017 |
EEG dataset and OpenBMI toolbox for three BCI paradigms: An investigation into BCI illiteracy MH Lee, OY Kwon, YJ Kim, HK Kim, YE Lee, J Williamson, S Fazli, ... GigaScience 8 (5), giz002, 2019 | 386 | 2019 |
State-space model with deep learning for functional dynamics estimation in resting-state fMRI HI Suk, CY Wee, SW Lee, D Shen NeuroImage 129, 292-307, 2016 | 331 | 2016 |
Deep ensemble learning of sparse regression models for brain disease diagnosis HI Suk, SW Lee, D Shen, Alzheimer’s Disease Neuroimaging Initiative Medical image analysis 37, 101-113, 2017 | 301 | 2017 |
Off-line recognition of totally unconstrained handwritten numerals using multilayer cluster neural network SW Lee IEEE Transactions on Pattern Analysis and Machine Intelligence 18 (6), 648-652, 1996 | 301 | 1996 |
A survey on pattern recognition applications of support vector machines H Byun, SW Lee International Journal of Pattern Recognition and Artificial Intelligence 17 …, 2003 | 298 | 2003 |
Adaboost for text detection in natural scene JJ Lee, PH Lee, SW Lee, A Yuille, C Koch 2011 International conference on document analysis and recognition, 429-434, 2011 | 293 | 2011 |
A convolutional neural network for steady state visual evoked potential classification under ambulatory environment NS Kwak, KR Müller, SW Lee PloS one 12 (2), e0172578, 2017 | 291 | 2017 |
Sign language spotting with a threshold model based on conditional random fields HD Yang, S Sclaroff, SW Lee IEEE transactions on pattern analysis and machine intelligence 31 (7), 1264-1277, 2008 | 291 | 2008 |
Subject-independent brain–computer interfaces based on deep convolutional neural networks OY Kwon, MH Lee, C Guan, SW Lee IEEE transactions on neural networks and learning systems 31 (10), 3839-3852, 2019 | 281 | 2019 |
A novel Bayesian framework for discriminative feature extraction in brain-computer interfaces HI Suk, SW Lee IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (2), 286-299, 2012 | 253 | 2012 |
A lower limb exoskeleton control system based on steady state visual evoked potentials NS Kwak, KR Müller, SW Lee Journal of neural engineering 12 (5), 056009, 2015 | 251 | 2015 |
Hand gesture recognition based on dynamic Bayesian network framework HI Suk, BK Sin, SW Lee Pattern recognition 43 (9), 3059-3072, 2010 | 249 | 2010 |
A new methodology for gray-scale character segmentation and recognition SW Lee, DJ Lee, HS Park IEEE transactions on pattern analysis and machine intelligence 18 (10), 1045 …, 1996 | 245 | 1996 |
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis X Zhu, HI Suk, L Wang, SW Lee, D Shen, ... Medical image analysis 38, 205-214, 2017 | 242 | 2017 |