Sang-Woon Kim

发表

An empirical evaluation on dimensionality reduction schemes for dissimilarity-based classifications

Sang-Woon Kim, Sang-Woon Kim, 2011, Pattern Recognit. Lett..

A comic emotional expression method and its applications

Sang-Woon Kim, Shin Tanahashi, Yoshinao Aoki, 1999, Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030).

H-009 A Semi-Supervised MarginBoost Algorithm Applicable for Dissimilarity-Based Classifications

Sang-Woon Kim, Thanh Binh Le, 2011 .

On using Additional Unlabeled Data for Improving Dissimilarity-Based Classifications

Sang-Woon Kim, Sang-Woon Kim, 2013, ICPRAM.

A comparative study on the sign-language communication systems between Korea and Japan through 2D and 3D character models on the Internet

Jong-Woo Lee, Sang-Woon Kim, Yoshinao Aoki, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Enhancing prototype reduction schemes with recursion: a method applicable for "large" data sets

B. John Oommen, Sang-Woon Kim, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

On Optimizing Dissimilarity-Based Classification Using Prototype Reduction Schemes

B. John Oommen, Sang-Woon Kim, 2006, ICIAR.

A brief taxonomy and ranking of creative prototype reduction schemes

B. John Oommen, Sang-Woon Kim, B. Oommen, 2003, Pattern Analysis & Applications.

On utilizing search methods to select subspace dimensions for kernel-based nonlinear subspace classifiers

B. John Oommen, Sang-Woon Kim, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On using prototype reduction schemes and classifier fusion strategies to optimize kernel-based nonlinear subspace methods

B. John Oommen, Sang-Woon Kim, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-view based unlabeled data selection using feature transformation methods for semiboost learning

Sang-Woon Kim, Sugwon Hong, Thanh-Binh Le, 2017, Neurocomputing.

An empirical study on improving dissimilarity-based classifications using one-shot similarity measure

Sang-Woon Kim, Sang-Woon Kim, 2014, Digit. Signal Process..

Simply recycled selection and incrementally reinforced selection methods applicable for semi-supervised learning algorithms

Sang-Woon Kim, Thanh-Binh Le, Sang-Woon Kim, 2014, 2014 International Conference on Electronics, Information and Communications (ICEIC).

Using CG Avatar Language in Communication Between different Countries

Sang-Woon Kim, Yoshinao Aoki, Jincan Li, 2000 .

On measuring confidence levels using multiple views of feature set for useful unlabeled data selection

Sang-Woon Kim, Thanh-Binh Le, Sang-Woon Kim, 2016, Neurocomputing.

Statistical Investigation on Class Mutation Operators

Sang-Woon Kim, Yong Rae Kwon, Yu-Seung Ma, 2009 .

On the estimation of independent binomial random variables using occurrence and sequential information

B. John Oommen, Sang-Woon Kim, Geir Horn, 2007, Pattern Recognit..

On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods

B. John Oommen, Sang-Woon Kim, B. Oommen, 2004, Pattern Recognit..

Prototype reduction schemes applicable for non-stationary data sets

B. John Oommen, Sang-Woon Kim, 2006, Pattern Recognit..

A structural learning of MLP classifiers using PfSGA and its application to Korean sign language recognition

Sang-Woon Kim, Yoshinao Aoki, Seong-Hyo Shin, 1999, Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030).

D-12-111 On Extracting Eye Positions for Dissimilarity Representation

Sang-Woon Kim, Jian Gao, Zhe-Xue Li, 2008 .

Sang-Woon Kim, 2012 .

Useful Unlabeled Data Selection Using Cuckoo Search Algorithm for SemiBoost Learning

Sang-Woon Kim, Trung Hai Nguyen, Thanh-Binh Le, 2016 .

Creative prototype reduction schemes: a taxonomy and ranking

Sang-Woon Kim, B. J. Oommen, 2002, IEEE International Conference on Systems, Man and Cybernetics.

A Study on Universal Design Critical Factors of the Urban Railway Station

Sang-Woon Kim, Byoung-Keun Kang, Tae-Sung Kang, 2014 .

PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection

Chun-Xia Zhang, Jiang-She Zhang, Sang-Woon Kim, 2016, Comput. Stat..

Recursive Prototype Reduction Schemes Applicable for Large Data Sets

B. John Oommen, Sang-Woon Kim, 2002, SSPR/SPR.

A Study on the Analysis and Investigation about Barrier-Free in Railroad Facilities

Sang-Woon Kim, Byoung-Keun Kang, Ki-Chang Seong, 2011 .

Feature Decomposition Using Mutual Information for SemiBoost Learning

Sang-Woon Kim, Thanh-Binh Le, 2015 .

On Selecting Helpful Unlabeled Data for Improving Semi-Supervised Support Vector Machines

Sang-Woon Kim, Thanh-Binh Le, 2014, ICPRAM.

Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance

Robert P. W. Duin, Sang-Woon Kim, Manuele Bicego, 2014, S+SSPR.

On incrementally using a small portion of strong unlabeled data for semi-supervised learning algorithms

Sang-Woon Kim, Thanh-Binh Le, Sang-Woon Kim, 2014, Pattern Recognit. Lett..

On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition

Robert P. W. Duin, Sang-Woon Kim, 2007, CIARP.

On Utilizing LVQ3-Type Algorithms to Enhance Prototype Reduction Schemes

B. John Oommen, Sang-Woon Kim, 2002, PRIS.

A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments

B. John Oommen, Sang-Woon Kim, Ole-Christoffer Granmo, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure

Robert P. W. Duin, Sang-Woon Kim, R. Duin, 2010, CIARP.

A-4-5 On Measuring One-Shot Similarity for Dissimilarity Representation Using Heterogeneous Negative Examples

Sang-Woon Kim, 2014 .

On Optimizing Subclass Discriminant Analysis Using a Pre-clustering Technique

Sang-Woon Kim, 2008, CIARP.

A Combine-Correct-Combine Scheme for Optimizing Dissimilarity-Based Classifiers

Robert P. W. Duin, Sang-Woon Kim, 2009, CIARP.

Searching a Navigation Path to Avoid Danger Area for Safe Driving

Sang-Woon Kim, Yong-Hu Lee, 2013 .

A study on the current status analysis of facilities of the disabled at palaces, royal tombs, and remains

Sang-Woon Kim, Byoung-Keun Kang, Ki-Chang Seong, 2010 .

Optimizing Dissimilarity-Based Classifiers Using a Newly Modified Hausdorff Distance

Sang-Woon Kim, 2006, PKAW.

On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis

B. John Oommen, Sang-Woon Kim, B. Oommen, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Sang-Woon Kim, Cesar San Martin, 2011 .

On Using a Dissimilarity Representation Method to Solve the Small Sample Size Problem for Face Recognition

Sang-Woon Kim, Sang-Woon Kim, 2006, ACIVS.

A Study on Establishment of Design Criteria for Development of New TWSIs

Sang-Woon Kim, Ki-Chang Seong, Dong-Hong Shin, 2016 .

A Hybrid Selection Method of Helpful Unlabeled Data Applicable for Semi-Supervised Learning Algorithm

Sang-Woon Kim, Thanh-Binh Le, Sang-Woon Kim, 2014 .

Robert P. W. Duin, Sang-Woon Kim, R. Duin, 2011, CIARP.

On Optimizing Locally Linear Nearest Neighbour Reconstructions Using Prototype Reduction Schemes

B. John Oommen, Sang-Woon Kim, 2010, Australasian Conference on Artificial Intelligence.

A Study on the Improvement of National Marine Pollution Response Policy based on the Analysis of Gulf of Mexico Oil Spill Incident

Sang-Woon Kim, Chang-Soo Lim, Wan-Sub Lee, 2011 .

On Using Dimensionality Reduction Schemes to Optimize Dissimilarity-Based Classifiers

Sang-Woon Kim, Jian Gao, 2008, CIARP.

On Adaptively Learning HMM-Based Classifiers Using Split-Merge Operations

Sang-Woon Kim, Soo-Hwan Oh, Sang-Woon Kim, 2006, IEA/AIE.

The Actual Condition Analysis of Play Space by Types of Installation for the Planning of Barrier Free Play Space

Sang-Woon Kim, Ki-Chang Seong, 김은경, 2009 .

On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods

B. John Oommen, Sang-Woon Kim, 2005, IEEE Trans. Pattern Anal. Mach. Intell..

Choosing unlabeled examples for SemiBoost using modified cuckoo search algorithms

Sang-Woon Kim, Trung Hai Nguyen, Thanh-Binh Le, 2016, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

On selective learning in stochastic stepwise ensembles

Chun-Xia Zhang, Jiang-She Zhang, Sang-Woon Kim, 2020, Int. J. Mach. Learn. Cybern..

Development and Implementation of Mobile APP for Marine Pollution Responder

Sang-Woon Kim, Young-Hwan Joo, Jong-Wook Choi, 2013 .

On using prototype reduction schemes to optimize locally linear reconstruction methods

B. John Oommen, Sang-Woon Kim, 2012, Pattern Recognit..

Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes

Sang-Woon Kim, B. John Oommen, 2002, Australian Joint Conference on Artificial Intelligence.

D-20-6 Classification Using Single-view or Multi-views: Which One is Better?

Sang-Woon Kim, Thanh-Binh Le, 2015 .

On Improving Semi-supervised Marginboost Incrementally using Strong Unlabeled Data

Sang-Woon Kim, Thanh-Binh Le, 2012, ICPRAM.

On intelligent avatar communication using Korean, Chinese and Japanese sign-languages: an overview

Sang-Woon Kim, Yoshinao Aoki, Zhe-Xue Li, 2004, ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004..

H-005 On Using DTW and Multiple Fusion Strategy for Optimizing Dissimilarity-Based Classification

Seunghwan Kim, Sang-Woon Kim, 2009 .

A Dynamic Programming Technique for Optimizing Dissimilarity-Based Classifiers

Sang-Woon Kim, Jian Gao, Sang-Woon Kim, 2008, SSPR/SPR.

An Integrated Keyframe Editor of Arms and Hands for 3D Sign-Language Animation

Jong-Woo Lee, Sang-Woon Kim, Yoshinao Aoki, 2000 .

Combining weak and strong mutation for a noninterpretive Java mutation system

Sang-Woon Kim, Yong Rae Kwon, Yu-Seung Ma, 2013, Softw. Test. Verification Reliab..

A pre-clustering technique for optimizing subclass discriminant analysis

Sang-Woon Kim, 2010, Pattern Recognit. Lett..

A Study on Barrier-free Certification Evaluation of the Bus Terminals

Sang-Woon Kim, Byoung-Keun Kang, Tae-Sung Kang, 2016 .

On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition

Robert P. W. Duin, Sang-Woon Kim, 2007, Canadian Conference on AI.

A Fast Computation of Inter-class Overlap Measures Using Prototype Reduction Schemes

B. John Oommen, Sang-Woon Kim, 2008, Canadian Conference on AI.

On Reducing Dimensionality of Dissimilarity Matrices for Optimizing DBC - An Experimental Comparison

Sang-Woon Kim, Sang-Woon Kim, 2010, ICAART.

An Improvement of Dissimilarity-Based Classifications Using SIFT Algorithm

Sang-Woon Kim, Evensen E. Masaki, 2011, PReMI.

A Study on the Regulatory Supporting System of Housing Adaptations in order to improve Housing Welfare

Sang-Woon Kim, Byoung-Keun Kang, Ki-Chang Seong, 2012 .

On Selecting Useful Unlabeled Data Using Multi-view Learning Techniques

Sang-Woon Kim, Thanh-Binh Le, 2015, ICPRAM.

Time-Varying Prototype Reduction Schemes Applicable for Non-stationary Data Sets

B. John Oommen, Sang-Woon Kim, 2005, Australian Conference on Artificial Intelligence.

On the Theory and Applications of Sequence Based Estimation of Independent Binomial Random Variables

B. John Oommen, Sang-Woon Kim, Geir Horn, 2006, SSPR/SPR.

A Structural Learning of Neural-Network Classifiers Using PCA Networks and Species Genetic Algorithms(Special Section of Papers Selected from ITC-CSCC'97)

Sang-Woon Kim, Yoshinao Aoki, Seong-Hyo Shin, 1998 .

Occlusion-based estimation of independent multinomial random variables using occurrence and sequential information

B. John Oommen, Sang-Woon Kim, B. Oommen, 2017, Eng. Appl. Artif. Intell..

On using prototype reduction schemes to enhance the computation of volume-based inter-class overlap measures

B. John Oommen, Sang-Woon Kim, 2009, Pattern Recognit..

Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods

B. John Oommen, Sang-Woon Kim, 2004, Australian Conference on Artificial Intelligence.

Enhancing prototype reduction schemes with LVQ3-type algorithms

B. John Oommen, Sang-Woon Kim, 2003, Pattern Recognit..

Mutation testing cost reduction by clustering overlapped mutants

Sang-Woon Kim, Yu-Seung Ma, 2016, J. Syst. Softw..

Multinomial Sequence Based Estimation Using Contiguous Subsequences of Length Three

B. John Oommen, Sang-Woon Kim, 2016, ICIAR.

Prevention Methods of Cyber-crimes using the Private Security

Sang-Woon Kim, Hyun-Bin Jo, 2013 .

On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes

B. John Oommen, Sang-Woon Kim, 2006, SSPR/SPR.

On the Foundations of Multinomial Sequence Based Estimation

B. John Oommen, Sang-Woon Kim, B. Oommen, 2016, ICCCI.

An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces

Robert P. W. Duin, Sang-Woon Kim, R. Duin, 2010, SSPR/SPR.

Comparison of Adjusted Methods for Selecting Useful Unlabeled Data for Semi-Supervised Learning Algorithms

Sang-Woon Kim, Thanh-Binh Le, Sang-Woon Kim, 2015, IEA/AIE.

On using prototype reduction schemes to optimize dissimilarity-based classification

B. John Oommen, Sang-Woon Kim, 2007, Pattern Recognit..

I_021 A Modification of Otsu's Thresholding Method for Pattern Matching

Sang-Woon Kim, Zhe-Xue Li, 2006 .

A-14-7 Preliminary Experiments on Sign-Language Communication between Korean, Chinese, and Japanese

Sang-Woon Kim, Yoshinao Aoki, Zhe-Xue Li, 2003 .

Stochastic Point Location in Non-stationary Environments and Its Applications

B. John Oommen, Sang-Woon Kim, Ole-Christoffer Granmo, 2007, IEA/AIE.

A Multiple Combining Method for Optimizing Dissimilarity-Based Classification

Sang-Woon Kim, Seunghwan Kim, 2010, ACIIDS.

Modified criterion to select useful unlabeled data for improving semi-supervised support vector machines

Sang-Woon Kim, Thanh-Binh Le, Sang-Woon Kim, 2015, Pattern Recognit. Lett..

Empirical Evaluation on Utilizing CNN-features for Seismic Patch Classification

Chun-Xia Zhang, Sang-Woon Kim, Xiaoli Wei, 2021, ICPRAM.

Seismic fault detection using convolutional neural networks with focal loss

Chun-Xia Zhang, Sang-Woon Kim, Shuang Xu, 2021, Comput. Geosci..