Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. - Cheong Hee Park; Haesun Park (ICDM, 2003)

A new optimization criterion for generalized discriminant analysis on undersampled problems. - Jieping Ye; Ravi Janardan; Cheong Hee Park; Haesun Park (ICDM, 2003)

A Comparative Study of Linear and Nonlinear Feature Extraction Methods. - Cheong Hee Park; Haesun Park; Panos M. Pardalos (ICDM, 2004)

An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. - Jieping Ye; Ravi Janardan; Cheong Hee Park; Haesun Park (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Nonlinear feature extraction based on centroids and kernel functions. - Cheong Hee Park; Haesun Park (Pattern Recognit., 2004)

Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. - Cheong Hee Park; Haesun Park (Pattern Recognit., 2005)

Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition. - Cheong Hee Park; Haesun Park (SIAM J. Matrix Anal. Appl., 2005)

A Relationship between Linear Discriminant Analysis and the Generalized Minimum Squared Error Solution. - Cheong Hee Park; Haesun Park (SIAM J. Matrix Anal. Appl., 2005)

A closer look at texture metrics for visualization. - Haleh Hagh-Shenas; Victoria Interrante; Cheong Hee Park (Human Vision and Electronic Imaging, 2006)

Similarity-Based Sparse Feature Extraction Using Local Manifold Learning. - Cheong Hee Park (PAKDD, 2006)

Associative Classification Using SVM-Based Discretization. - Cheong Hee Park; Moonhwi Lee (CIS, 2007)

On Detecting an Emerging Class. - Cheong Hee Park; Hongsuk Shim (GrC, 2007)

On Applying Dimension Reduction for Multi-labeled Problems. - Moonhwi Lee; Cheong Hee Park (MLDM, 2007)

Dimension reduction using least squares regression in multi-labeled text categorization. - Cheong Hee Park (CIT, 2008)

Selection Of Orthogonal Features In Fisher Discriminant Analysis. - Zhaojia Sun; Miseon Choi; Cheong Hee Park; Young-Kuk Kim (IADIS European Conf. Data Mining, 2008)

An efficient image normalization method for face recognition under varying illuminations. - Moonhwi Lee; Cheong Hee Park (Multimedia Information Retrieval, 2008)

A comparison of generalized linear discriminant analysis algorithms. - Cheong Hee Park; Haesun Park (Pattern Recognit., 2008)

On applying linear discriminant analysis for multi-labeled problems. - Cheong Hee Park; Moonhwi Lee (Pattern Recognit. Lett., 2008)

Semi-supervised Dimension Reduction Using Graph-Based Discriminant Analysis. - Gaksoo Lim; Cheong Hee Park (CIT (1), 2009)

A SVM-based discretization method with application to associative classification. - Cheong Hee Park; Moonhwi Lee (Expert Syst. Appl., 2009)

Improved Algorithms for Unsupervised Discriminant Projection. - Cheong Hee Park (Int. J. Pattern Recognit. Artif. Intell., 2010)

Detection of an Emerging New Class Using Statistical Hypothesis Testing and Density Estimation. - Cheong Hee Park; Hongsuk Shim (Int. J. Pattern Recognit. Artif. Intell., 2010)

Extending Linear Discriminant Analysis by Using Unlabeled Data. - Young Tae Lee; Yong Joon Shin; Cheong Hee Park (CIT, 2011)

Analysis of Correlation Based Dimension Reduction Methods. - Yong Joon Shin; Cheong Hee Park (Int. J. Appl. Math. Comput. Sci., 2011)

Semi-supervised Ensemble Learning Using Label Propagation. - Hoyoung Woo; Cheong Hee Park (CIT, 2012)

An Efficient Active Learning Method Based on Random Sampling and Backward Deletion. - Hoyoung Woo; Cheong Hee Park (IScIDE, 2012)

Large-scale color holographic display capable of steering view window. - Hyun-Eui Kim; Minsik Park; Byung Gyu Chae; Joonku Hahn; Hwi Kim; Cheong Hee Park; Kyungae Moon; Jinwoong Kim (IC3D, 2013)

An analysis of driver's workload in the lane change behavior. - Hyunsuk Kim; Yoonsook Hwang; Daesub Yoon; Cheong Hee Park (ICTC, 2013)

A Feature Selection Method Using Hierarchical Clustering. - Cheong Hee Park (MIKE, 2013)

Real-time user pose verification in a depth image for simulator. - Dongjin Lee; Kye Kyung Kim; Chankyu Park; Ho-Sub Yoon; Jaehong Kim 001; Cheong Hee Park (RO-MAN, 2013)

Query by Humming by Using Scaled Dynamic Time Warping. - Yunji Kim; Cheong Hee Park (SITIS, 2013)

Automatic number recognition for bus route information aid for the visually-impaired. - Dongjin Lee; Ho-Sub Yoon; Chankyu Park; Jaehong Kim 001; Cheong Hee Park (URAI, 2013)

Short paper: Study of driver workload-based smartphone control service. - Hyunsuk Kim; Yoonsook Hwang; Daesub Yoon; Cheong Hee Park (VNC, 2013)

Batch Mode Active Learning for Graph-Based Semi-Supervised Learning. - Cheong Hee Park (Int. J. Pattern Recognit. Artif. Intell., 2013)

Driver Workload Characteristics Analysis Using EEG Data From an Urban Road. - Hyunsuk Kim; Yoonsook Hwang; Daesub Yoon; Wongeun Choi; Cheong Hee Park (IEEE Trans. Intell. Transp. Syst., 2014)

Prototype-Based Sample Selection for Active Hashing. - Cheong Hee Park (J. Comput. Sci., 2015)

Query by humming based on multiple spectral hashing and scaled open-end dynamic time warping. - Cheong Hee Park (Signal Process., 2015)

Concept Drift Detection on Streaming Data under Limited Labeling. - Young In Kim; Cheong Hee Park (CIT, 2016)

An active learning method for data streams with concept drift. - Cheong Hee Park; Youngsoon Kang (IEEE BigData, 2016)

Driving characteristics analysis of young and middle-aged drivers. - Hyunsuk Kim; Daesub Yoon; HyunSoon Shin; Cheong Hee Park (ICTC, 2016)

An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling. - Youngin Kim; Cheong Hee Park (IEICE Trans. Inf. Syst., 2017)

Anomaly Pattern Detection on Data Streams. - Cheong Hee Park (BigComp, 2018)

Vehicle re-identification for a parking lot toll system using convolutional neural networks. - Dongjin Lee; Yongwoo Jo; Seung-Jun Han; Jungyu Kang; Kyoungwook Min; Jeongdan Choi; Cheong Hee Park (ICMV, 2018)

Emerging topic detection in twitter stream based on high utility pattern mining. - Hyeok-Jun Choi; Cheong Hee Park (Expert Syst. Appl., 2019)

Predicting the EEG Level of a Driver Based on Driving Information. - Hyunsuk Kim; Daesub Yoon; HyunSoon Shin; Cheong Hee Park (IEEE Trans. Intell. Transp. Syst., 2019)

Outlier and anomaly pattern detection on data streams. - Cheong Hee Park (J. Supercomput., 2019)

Hypergraph Random Walks, Laplacians, and Clustering. - Koby Hayashi; Sinan G. Aksoy; Cheong Hee Park; Haesun Park (CIKM, 2020)

Anomaly pattern detection for streaming data. - Taegong Kim; Cheong Hee Park (Expert Syst. Appl., 2020)

Comparison of incremental linear dimension reduction methods for streaming data. - Cheong Hee Park; Gyeong-Hoon Lee (Pattern Recognit. Lett., 2020)

Jamming Prediction for Radar Signals Using Machine Learning Methods. - Gyeong-Hoon Lee; Jeil Jo; Cheong Hee Park (Secur. Commun. Networks, 2020)

A Unified Method for Deinterleaving and PRI Modulation Recognition of Radar Pulses Based on Deep Neural Networks. - Jin-Woo Han; Cheong Hee Park (IEEE Access, 2021)

An explainable outlier detection method using region-partition trees. - Cheong Hee Park; Jiil Kim (J. Supercomput., 2021)

Anomaly Pattern Detection in Streaming Data Based on the Transformation to Multiple Binary-Valued Data Streams. - Taegong Kim; Cheong Hee Park (J. Artif. Intell. Soft Comput. Res., 2022)

Prediction of Peak Pressure by Blast Wave Propagation Between Buildings Using a Conditional 3D Convolutional Neural Network. - Min Ah Kang; Cheong Hee Park (IEEE Access, 2023)

A Comparative Study for Outlier Detection Methods in High Dimensional Text Data. - Cheong Hee Park (J. Artif. Intell. Soft Comput. Res., 2023)

Targetless LiDAR-Camera Auto Calibration (TLAC): Leveraging Foundation Models for Enhanced Accuracy and Efficiency. - Dongjin Lee; Jungyu Kang; Seung-Jun Han; Kyoung-Wook Min; Cheong Hee Park (ICTC, 2024)

A collaborative ensemble construction method for federated random forest. - Penjan Antonio Eng Lim; Cheong Hee Park (Expert Syst. Appl., 2024)

Effective federated XGBoost learning for multi-class classification in Non-IID environments. - Sung Won Kang; Cheong Hee Park (J. Supercomput., 2025)