Sang-Woon Kim
Orcid: 0000-0002-2748-8312
According to our database1,
Sang-Woon Kim
authored at least 68 papers
between 1999 and 2022.
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Bibliography
2022
Hybrid Loss-Guided Coarse-to-Fine Model for Seismic Data Consecutively Missing Trace Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2022
Comput. Geosci., 2022
2021
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021
2020
Int. J. Mach. Learn. Cybern., 2020
2019
Hum. centric Comput. Inf. Sci., 2019
2017
Multi-view based unlabeled data selection using feature transformation methods for semiboost learning.
Neurocomputing, 2017
Occlusion-based estimation of independent multinomial random variables using occurrence and sequential information.
Eng. Appl. Artif. Intell., 2017
2016
J. Syst. Softw., 2016
On measuring confidence levels using multiple views of feature set for useful unlabeled data selection.
Neurocomputing, 2016
Comput. Stat., 2016
Proceedings of the 12th International Conference on Natural Computation, 2016
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016
2015
Modified criterion to select useful unlabeled data for improving semi-supervised support vector machines.
Pattern Recognit. Lett., 2015
Comparison of Adjusted Methods for Selecting Useful Unlabeled Data for Semi-Supervised Learning Algorithms.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015
On Selecting Useful Unlabeled Data Using Multi-view Learning Techniques.
Proceedings of the ICPRAM 2015, 2015
2014
On incrementally using a small portion of strong unlabeled data for semi-supervised learning algorithms.
Pattern Recognit. Lett., 2014
An empirical study on improving dissimilarity-based classifications using one-shot similarity measure.
Digit. Signal Process., 2014
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014
On Selecting Helpful Unlabeled Data for Improving Semi-Supervised Support Vector Machines.
Proceedings of the ICPRAM 2014, 2014
Simply recycled selection and incrementally reinforced selection methods applicable for semi-supervised learning algorithms.
Proceedings of the International Conference on Electronics, Information and Communications, 2014
2013
Softw. Test. Verification Reliab., 2013
On using Additional Unlabeled Data for Improving Dissimilarity-Based Classifications.
Proceedings of the ICPRAM 2013, 2013
2012
On using prototype reduction schemes to optimize locally linear reconstruction methods.
Pattern Recognit., 2012
On Improving Semi-supervised Marginboost Incrementally using Strong Unlabeled Data.
Proceedings of the ICPRAM 2012, 2012
2011
An empirical evaluation on dimensionality reduction schemes for dissimilarity-based classifications.
Pattern Recognit. Lett., 2011
Proceedings of the Pattern Recognition and Machine Intelligence, 2011
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011
2010
Pattern Recognit. Lett., 2010
Proceedings of the Structural, 2010
On Reducing Dimensionality of Dissimilarity Matrices for Optimizing DBC - An Experimental Comparison.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010
On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010
On Optimizing <i>Locally</i> Linear Nearest Neighbour Reconstructions Using Prototype Reduction Schemes.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
Proceedings of the Intelligent Information and Database Systems, 2010
2009
On using prototype reduction schemes to enhance the computation of volume-based inter-class overlap measures.
Pattern Recognit., 2009
Proceedings of the Progress in Pattern Recognition, 2009
2008
A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments.
IEEE Trans. Syst. Man Cybern. Part B, 2008
On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis.
IEEE Trans. Syst. Man Cybern. Part B, 2008
Proceedings of the Structural, 2008
On Using Dimensionality Reduction Schemes to Optimize Dissimilarity-Based Classifiers.
Proceedings of the Progress in Pattern Recognition, 2008
Proceedings of the Progress in Pattern Recognition, 2008
A Fast Computation of Inter-class Overlap Measures Using Prototype Reduction Schemes.
Proceedings of the Advances in Artificial Intelligence , 2008
2007
On the estimation of independent binomial random variables using occurrence and sequential information.
Pattern Recognit., 2007
Pattern Recognit., 2007
Proceedings of the New Trends in Applied Artificial Intelligence, 2007
On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition.
Proceedings of the Progress in Pattern Recognition, 2007
On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition.
Proceedings of the Advances in Artificial Intelligence, 2007
2006
Pattern Recognit., 2006
On the Theory and Applications of Sequence Based Estimation of Independent Binomial Random Variables.
Proceedings of the Structural, 2006
On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes.
Proceedings of the Structural, 2006
Optimizing Dissimilarity-Based Classifiers Using a Newly Modified Hausdorff Distance.
Proceedings of the Advances in Knowledge Acquisition and Management, 2006
Proceedings of the Advances in Applied Artificial Intelligence, 2006
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006
On Using a Dissimilarity Representation Method to Solve the Small Sample Size Problem for Face Recognition.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2006
2005
On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods.
IEEE Trans. Pattern Anal. Mach. Intell., 2005
On Utilizing Search Methods to Select Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell., 2005
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
2004
Enhancing prototype reduction schemes with recursion: a method applicable for "large" data sets.
IEEE Trans. Syst. Man Cybern. Part B, 2004
On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods.
Pattern Recognit., 2004
On intelligent avatar communication using Korean, Chinese and Japanese sign-languages: an overview.
Proceedings of the 8th International Conference on Control, 2004
Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004
2003
Pattern Recognit., 2003
Pattern Anal. Appl., 2003
2002
Proceedings of the Structural, 2002
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002
On Utilizing LVQ3-Type Algorithms to Enhance Prototype Reduction Schemes.
Proceedings of the Pattern Recognition in Information Systems, 2002
Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes.
Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002
1999
A Comparative Study on the Sign-Language Communication Systems Between Korea and Japan Through 2D and 3D Character Models on the Internet.
Proceedings of the 1999 International Conference on Image Processing, 1999