Seong-Whan Lee
Seong-Whan Lee
Professor of Artificial Intelligence and Brain Engineering, Korea University
Verified email at korea.ac.kr - Homepage
Title
Cited by
Cited by
Year
Thinning methodologies-a comprehensive survey
L Lam, SW Lee, CY Suen
IEEE Transactions on pattern analysis and machine intelligence 14 (9), 869-885, 1992
22791992
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
6212014
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
4492014
Applications of support vector machines for pattern recognition: A survey
H Byun, SW Lee
International Workshop on Support Vector Machines, 213-236, 2002
4232002
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 (2), 841-859, 2015
2682015
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
2681996
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
2281996
Fast scene change detection using direct feature extraction from MPEG compressed videos
SW Lee, YM Kim, SW Choi
IEEE Transactions on Multimedia 2 (4), 240-254, 2000
2252000
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
2212008
A survey on pattern recognition applications of support vector machines
H Byun, SW Lee
International Journal of Pattern Recognition and Artificial Intelligence 17 …, 2003
2152003
Hand gesture recognition based on dynamic Bayesian network framework
HI Suk, BK Sin, SW Lee
Pattern recognition 43 (9), 3059-3072, 2010
2072010
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
2052011
Gesture spotting and recognition for human–robot interaction
HD Yang, AY Park, SW Lee
IEEE Transactions on robotics 23 (2), 256-270, 2007
1932007
Automatic document processing: a survey
YY Tang, SW Lee, CY Suen
Pattern recognition 29 (12), 1931-1952, 1996
1921996
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
1752012
Human action recognition using shape and CLG-motion flow from multi-view image sequences
M Ahmad, SW Lee
Pattern Recognition 41 (7), 2237-2252, 2008
1532008
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
1502016
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
1432017
Nonlinear shape normalization methods for the recognition of large-set handwritten characters
SW Lee, JS Park
Pattern recognition 27 (7), 895-902, 1994
1401994
Subspace regularized sparse multitask learning for multiclass neurodegenerative disease identification
X Zhu, HI Suk, SW Lee, D Shen
IEEE Transactions on Biomedical Engineering 63 (3), 607-618, 2015
1382015
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