Sang-Woon Kim

71 papers B 1C 15Journal 29Unranked 26
YearRankTypeTitle / Venue / Authors
2024 J jnl
Seismic Data Interpolation via Denoising Diffusion Implicit Models With Coherence-Corrected Resampling.
IEEE Trans. Geosci. Remote. Sens.
Xiao-Li Wei, Chunxia Zhang, Hongtao Wang, Chengli Tan, Deng Xiong, Baisong Jiang, Jiangshe Zhang, Sang-Woon Kim
2022 J jnl
Hybrid Loss-Guided Coarse-to-Fine Model for Seismic Data Consecutively Missing Trace Reconstruction.
IEEE Trans. Geosci. Remote. Sens.
Xiao-Li Wei, Chunxia Zhang, Hongtao Wang, Zixiang Zhao, Xiong Deng, Shuang Xu, Jiangshe Zhang, Sang-Woon Kim
2022 J jnl
Seismic fault detection using convolutional neural networks with focal loss.
Comput. Geosci.
Xiao-Li Wei, Chunxia Zhang, Sang-Woon Kim, Kai-Li Jing, Yong-Jun Wang, Shuang Xu, Zhuangzhuang Xie
2021 C conf
Empirical Evaluation on Utilizing CNN-features for Seismic Patch Classification.
ICPRAM
Chun-Xia Zhang, Xiaoli Wei, Sang-Woon Kim
2020 J jnl
On selective learning in stochastic stepwise ensembles.
Int. J. Mach. Learn. Cybern.
Chun-Xia Zhang, Sang-Woon Kim, Jiang-She Zhang
2019 J jnl
Research paper classification systems based on TF-IDF and LDA schemes.
Hum. centric Comput. Inf. Sci.
Sang-Woon Kim, Joon-Min Gil
2017 J jnl
Multi-view based unlabeled data selection using feature transformation methods for semiboost learning.
Neurocomputing
Thanh-Binh Le, Sugwon Hong, Sang-Woon Kim
2017 J jnl
Occlusion-based estimation of independent multinomial random variables using occurrence and sequential information.
Eng. Appl. Artif. Intell.
B. John Oommen, Sang-Woon Kim
2016 — conf
Choosing unlabeled examples for SemiBoost using modified cuckoo search algorithms.
ICNC-FSKD
Trung Hai Nguyen, Thanh-Binh Le, Sang-Woon Kim
2016 — conf
Multinomial Sequence Based Estimation Using Contiguous Subsequences of Length Three.
ICIAR
B. John Oommen, Sang-Woon Kim
2016 J jnl
Mutation testing cost reduction by clustering overlapped mutants.
J. Syst. Softw.
Yu-Seung Ma, Sang-Woon Kim
2016 J jnl
On measuring confidence levels using multiple views of feature set for useful unlabeled data selection.
Neurocomputing
Thanh-Binh Le, Sang-Woon Kim
2016 — conf
On the Foundations of Multinomial Sequence Based Estimation.
ICCCI (1)
B. John Oommen, Sang-Woon Kim
2016 J jnl
PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection.
Comput. Stat.
Chun-Xia Zhang, Jiang-She Zhang, Sang-Woon Kim
2015 C conf
Comparison of Adjusted Methods for Selecting Useful Unlabeled Data for Semi-Supervised Learning Algorithms.
IEA/AIE
Thanh-Binh Le, Sang-Woon Kim
2015 J jnl
Modified criterion to select useful unlabeled data for improving semi-supervised support vector machines.
Pattern Recognit. Lett.
Thanh-Binh Le, Sang-Woon Kim
2015 — conf
On Selecting Useful Unlabeled Data Using Multi-view Learning Techniques.
ICPRAM (1)
Thanh-Binh Le, Sang-Woon Kim
2014 J jnl
An empirical study on improving dissimilarity-based classifications using one-shot similarity measure.
Digit. Signal Process.
Sang-Woon Kim
2014 — conf
Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance.
S+SSPR
Robert P. W. Duin, Manuele Bicego, Mauricio Orozco-Alzate, Sang-Woon Kim, Marco Loog
2014 C conf
On Selecting Helpful Unlabeled Data for Improving Semi-Supervised Support Vector Machines.
ICPRAM
Thanh-Binh Le, Sang-Woon Kim
2014 J jnl
On incrementally using a small portion of strong unlabeled data for semi-supervised learning algorithms.
Pattern Recognit. Lett.
Thanh-Binh Le, Sang-Woon Kim
2014 — conf
Simply recycled selection and incrementally reinforced selection methods applicable for semi-supervised learning algorithms.
ICEIC
Thanh-Binh Le, Sang-Woon Kim
2013 J jnl
Combining weak and strong mutation for a noninterpretive Java mutation system.
Softw. Test. Verification Reliab.
Sang-Woon Kim, Yu-Seung Ma, Yong Rae Kwon
2013 C conf
On using Additional Unlabeled Data for Improving Dissimilarity-Based Classifications.
ICPRAM
Sang-Woon Kim
2012 — conf
On Improving Semi-supervised Marginboost Incrementally using Strong Unlabeled Data.
ICPRAM (1)
Thanh-Binh Le, Sang-Woon Kim
2012 J jnl
On using prototype reduction schemes to optimize locally linear reconstruction methods.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2011 — conf
An Improvement of Dissimilarity-Based Classifications Using SIFT Algorithm.
PReMI
Evensen E. Masaki, Sang-Woon Kim
2011 J jnl
An empirical evaluation on dimensionality reduction schemes for dissimilarity-based classifications.
Pattern Recognit. Lett.
Sang-Woon Kim
2011 C conf
Dissimilarity-Based Classifications in Eigenspaces.
CIARP
Sang-Woon Kim, Robert P. W. Duin
2011 C ed.
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, 2011. Proceedings
CIARP
César San Martín, Sang-Woon Kim
2010 — conf
A Multiple Combining Method for Optimizing Dissimilarity-Based Classification.
ACIIDS (2)
Sang-Woon Kim, Seunghwan Kim
2010 J jnl
A pre-clustering technique for optimizing subclass discriminant analysis.
Pattern Recognit. Lett.
Sang-Woon Kim
2010 — conf
An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces.
SSPR/SPR
Sang-Woon Kim, Robert P. W. Duin
2010 C conf
On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure.
CIARP
Sang-Woon Kim, Robert P. W. Duin
2010 — conf
On Optimizing
Australasian Conference on Artificial Intelligence
Sang-Woon Kim, B. John Oommen
2010 — conf
On Reducing Dimensionality of Dissimilarity Matrices for Optimizing DBC - An Experimental Comparison.
ICAART (1)
Sang-Woon Kim
2009 C conf
A Combine-Correct-Combine Scheme for Optimizing Dissimilarity-Based Classifiers.
CIARP
Sang-Woon Kim, Robert P. W. Duin
2009 J jnl
On using prototype reduction schemes to enhance the computation of volume-based inter-class overlap measures.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2008 — conf
A Dynamic Programming Technique for Optimizing Dissimilarity-Based Classifiers.
SSPR/SPR
Sang-Woon Kim, Jian Gao
2008 — conf
A Fast Computation of Inter-class Overlap Measures Using Prototype Reduction Schemes.
Canadian AI
Sang-Woon Kim, B. John Oommen
2008 J jnl
A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, Sang-Woon Kim, M. T. Samuel, Ole-Christoffer Granmo
2008 C conf
On Optimizing Subclass Discriminant Analysis Using a Pre-clustering Technique.
CIARP
Sang-Woon Kim
2008 C conf
On Using Dimensionality Reduction Schemes to Optimize Dissimilarity-Based Classifiers.
CIARP
Sang-Woon Kim, Jian Gao
2008 J jnl
On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis.
IEEE Trans. Syst. Man Cybern. Part B
Sang-Woon Kim, B. John Oommen
2007 — conf
On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition.
Canadian AI
Sang-Woon Kim, Robert P. W. Duin
2007 C conf
On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition.
CIARP
Sang-Woon Kim, Robert P. W. Duin
2007 J jnl
On the estimation of independent binomial random variables using occurrence and sequential information.
Pattern Recognit.
B. John Oommen, Sang-Woon Kim, Geir Horn
2007 J jnl
On using prototype reduction schemes to optimize dissimilarity-based classification.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2007 C conf
Stochastic Point Location in Non-stationary Environments and Its Applications.
IEA/AIE
B. John Oommen, Sang-Woon Kim, Mathew Samuel, Ole-Christoffer Granmo
2006 C conf
On Adaptively Learning HMM-Based Classifiers Using Split-Merge Operations.
IEA/AIE
Sang-Woon Kim, Soo-Hwan Oh
2006 — conf
On Optimizing Dissimilarity-Based Classification Using Prototype Reduction Schemes.
ICIAR (1)
Sang-Woon Kim, B. John Oommen
2006 — conf
On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes.
SSPR/SPR
Sang-Woon Kim, B. John Oommen
2006 B conf
On Using a Dissimilarity Representation Method to Solve the Small Sample Size Problem for Face Recognition.
ACIVS
Sang-Woon Kim
2006 — conf
On the Theory and Applications of Sequence Based Estimation of Independent Binomial Random Variables.
SSPR/SPR
B. John Oommen, Sang-Woon Kim, Geir Horn
2006 C conf
Optimizing Dissimilarity-Based Classifiers Using a Newly Modified Hausdorff Distance.
PKAW
Sang-Woon Kim
2006 J jnl
Prototype reduction schemes applicable for non-stationary data sets.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2005 J jnl
On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods.
IEEE Trans. Pattern Anal. Mach. Intell.
Sang-Woon Kim, B. John Oommen
2005 J jnl
On Utilizing Search Methods to Select Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell.
Sang-Woon Kim, B. John Oommen
2005 — conf
Time-Varying Prototype Reduction Schemes Applicable for Non-stationary Data Sets.
Australian Conference on Artificial Intelligence
Sang-Woon Kim, B. John Oommen
2004 J jnl
Enhancing prototype reduction schemes with recursion: a method applicable for "large" data sets.
IEEE Trans. Syst. Man Cybern. Part B
Sang-Woon Kim, B. John Oommen
2004 C conf
On intelligent avatar communication using Korean, Chinese and Japanese sign-languages: an overview.
ICARCV
Sang-Woon Kim, Zhe-Xue Li, Yoshinao Aoki
2004 J jnl
On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2004 — conf
Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods.
Australian Conference on Artificial Intelligence
Sang-Woon Kim, B. John Oommen
2003 J jnl
A brief taxonomy and ranking of creative prototype reduction schemes.
Pattern Anal. Appl.
Sang-Woon Kim, B. John Oommen
2003 J jnl
Enhancing prototype reduction schemes with LVQ3-type algorithms.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2003 — conf
On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods.
Australian Conference on Artificial Intelligence
Sang-Woon Kim, B. John Oommen
2002 — conf
Creative prototype reduction schemes: a taxonomy and ranking.
SMC (2)
Sang-Woon Kim, B. John Oommen
2002 — conf
On Utilizing LVQ3-Type Algorithms to Enhance Prototype Reduction Schemes.
PRIS
Sang-Woon Kim, B. John Oommen
2002 — conf
Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes.
Australian Joint Conference on Artificial Intelligence
Sang-Woon Kim, B. John Oommen
2002 — conf
Recursive Prototype Reduction Schemes Applicable for Large Data Sets.
SSPR/SPR
Sang-Woon Kim, B. John Oommen
1999 — conf
A Comparative Study on the Sign-Language Communication Systems Between Korea and Japan Through 2D and 3D Character Models on the Internet.
ICIP (4)
Sang-Woon Kim, Jong-Woo Lee, Ji-Yong Oh, Yoshinao Aoki