Sang-Woon Kim

发表

On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure

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

On Optimizing Dissimilarity-Based Classifier Using Multi-level Fusion Strategies

R. Duin, Sang-Woon Kim, 2008 .

A hybrid selection method of helpful unlabeled data applicable for semi-supervised learning algorithms

Sang-Woon Kim, Thanh-Binh Le, 2014, The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014).

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

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

On Using Class-dependent Principle Component Analysis for Dissimilarity-Based Classifications

Sang-Woon Kim, 2013 .

Optimizing LDA-Based Classifiers Using a Pre-Clustering Step for Appearance-Based Face Recognition ?

R. Duin, Sang-Woon Kim, Byum-Yong Koo, 2007 .

A Comparative Experiment on Dimensional Reduction Methods Applicable for Dissimilarity-Based Classifications

Sang-Woon Kim, 2016 .

Research paper classification systems based on TF-IDF and LDA schemes

Joon-Min Gil, Sang-Woon Kim, Sang-Woon Kim, 2019, Hum. centric Comput. Inf. Sci..

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..

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.

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).

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

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

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 Adaptively Learning HMM-Based Classifiers Using Split-Merge Operations

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

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 the Foundations of Multinomial Sequence Based Estimation

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

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

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

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

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

On using Additional Unlabeled Data for Improving Dissimilarity-Based Classifications

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

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

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

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

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

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

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

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

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).

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

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

Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance

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

Research paper classification systems based on TF-IDF and LDA schemes

Sang-Woon Kim, Joon-Min Gil, S. W. Kim, 2019, Hum. centric Comput. Inf. Sci..

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

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

On selective learning in stochastic stepwise ensembles

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

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

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

Seismic fault detection using convolutional neural networks with focal loss

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

A brief taxonomy and ranking of creative prototype reduction schemes

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

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

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

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.

A Dynamic Programming Technique for Optimizing Dissimilarity-Based Classifiers

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