Cheong Hee Park

61 papers A* 3A 1B 2C 6Misc 1Journal 32Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Federated Learning Method for Multi-Positive and Unlabeled Data Using an Ensemble of One-Positive and Unlabeled Learning Models. J. Comput. Sci. Eng. Cheong Hee Park
2025	J	`jnl`	Effective federated XGBoost learning for multi-class classification in Non-IID environments. J. Supercomput. Sung Won Kang, Cheong Hee Park
2024	J	`jnl`	A collaborative ensemble construction method for federated random forest. CoRR Penjan Antonio Eng Lim, Cheong Hee Park
2024	J	`jnl`	A collaborative ensemble construction method for federated random forest. Expert Syst. Appl. Penjan Antonio Eng Lim, Cheong Hee Park
2024	—	`conf`	Targetless LiDAR-Camera Auto Calibration (TLAC): Leveraging Foundation Models for Enhanced Accuracy and Efficiency. ICTC Dongjin Lee, Jungyu Kang, Seung-Jun Han, Kyoung-Wook Min, Cheong Hee Park
2023	J	`jnl`	A Comparative Study for Outlier Detection Methods in High Dimensional Text Data. J. Artif. Intell. Soft Comput. Res. Cheong Hee Park
2023	J	`jnl`	Prediction of Peak Pressure by Blast Wave Propagation Between Buildings Using a Conditional 3D Convolutional Neural Network. IEEE Access Min Ah Kang, Cheong Hee Park
2022	J	`jnl`	Anomaly Pattern Detection in Streaming Data Based on the Transformation to Multiple Binary-Valued Data Streams. J. Artif. Intell. Soft Comput. Res. Taegong Kim, Cheong Hee Park
2021	J	`jnl`	A Unified Method for Deinterleaving and PRI Modulation Recognition of Radar Pulses Based on Deep Neural Networks. IEEE Access Jin-Woo Han, Cheong Hee Park
2021	J	`jnl`	An explainable outlier detection method using region-partition trees. J. Supercomput. Cheong Hee Park, Jiil Kim
2020	J	`jnl`	Anomaly pattern detection for streaming data. Expert Syst. Appl. Taegong Kim, Cheong Hee Park
2020	J	`jnl`	Comparison of incremental linear dimension reduction methods for streaming data. Pattern Recognit. Lett. Cheong Hee Park, Gyeong-Hoon Lee
2020	A	`conf`	Hypergraph Random Walks, Laplacians, and Clustering. CIKM Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park
2020	J	`jnl`	Hypergraph Random Walks, Laplacians, and Clustering. CoRR Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park
2020	J	`jnl`	Jamming Prediction for Radar Signals Using Machine Learning Methods. Secur. Commun. Networks Gyeong-Hoon Lee, Jeil Jo, Cheong Hee Park
2019	J	`jnl`	Emerging topic detection in twitter stream based on high utility pattern mining. Expert Syst. Appl. Hyeok-Jun Choi, Cheong Hee Park
2019	J	`jnl`	Outlier and anomaly pattern detection on data streams. J. Supercomput. Cheong Hee Park
2019	J	`jnl`	Predicting the EEG Level of a Driver Based on Driving Information. IEEE Trans. Intell. Transp. Syst. Hyunsuk Kim, Daesub Yoon, HyunSoon Shin, Cheong Hee Park
2018	—	`conf`	Anomaly Pattern Detection on Data Streams. BigComp Cheong Hee Park
2018	C	`conf`	Vehicle re-identification for a parking lot toll system using convolutional neural networks. ICMV Dongjin Lee, Yongwoo Jo, Seung-Jun Han, Jungyu Kang, Kyoungwook Min, Jeongdan Choi, Cheong Hee Park
2017	J	`jnl`	An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling. IEICE Trans. Inf. Syst. Youngin Kim, Cheong Hee Park
2016	—	`conf`	An active learning method for data streams with concept drift. IEEE BigData Cheong Hee Park, Youngsoon Kang
2016	C	`conf`	Concept Drift Detection on Streaming Data under Limited Labeling. CIT Young In Kim, Cheong Hee Park
2016	—	`conf`	Driving characteristics analysis of young and middle-aged drivers. ICTC Hyunsuk Kim, Daesub Yoon, HyunSoon Shin, Cheong Hee Park
2015	J	`jnl`	Prototype-Based Sample Selection for Active Hashing. J. Comput. Sci. Cheong Hee Park
2015	J	`jnl`	Query by humming based on multiple spectral hashing and scaled open-end dynamic time warping. Signal Process. Cheong Hee Park
2014	J	`jnl`	Driver Workload Characteristics Analysis Using EEG Data From an Urban Road. IEEE Trans. Intell. Transp. Syst. Hyunsuk Kim, Yoonsook Hwang, Daesub Yoon, Wongeun Choi, Cheong Hee Park
2013	—	`conf`	A Feature Selection Method Using Hierarchical Clustering. MIKE Cheong Hee Park
2013	—	`conf`	An analysis of driver's workload in the lane change behavior. ICTC Hyunsuk Kim, Yoonsook Hwang, Daesub Yoon, Cheong Hee Park
2013	—	`conf`	Automatic number recognition for bus route information aid for the visually-impaired. URAI Dongjin Lee, Ho-Sub Yoon, Chankyu Park, Jaehong Kim, Cheong Hee Park
2013	J	`jnl`	Batch Mode Active Learning for Graph-Based Semi-Supervised Learning. Int. J. Pattern Recognit. Artif. Intell. Cheong Hee Park
2013	—	`conf`	Large-scale color holographic display capable of steering view window. IC3D Hyun-Eui Kim, Minsik Park, Byung Gyu Chae, Joonku Hahn, Hwi Kim, Cheong Hee Park, Kyungae Moon, Jinwoong Kim
2013	—	`conf`	Query by Humming by Using Scaled Dynamic Time Warping. SITIS Yunji Kim, Cheong Hee Park
2013	B	`conf`	Real-time user pose verification in a depth image for simulator. RO-MAN Dongjin Lee, Kye Kyung Kim, Chankyu Park, Ho-Sub Yoon, Jaehong Kim, Cheong Hee Park
2013	—	`conf`	Short paper: Study of driver workload-based smartphone control service. VNC Hyunsuk Kim, Yoonsook Hwang, Daesub Yoon, Cheong Hee Park
2012	—	`conf`	An Efficient Active Learning Method Based on Random Sampling and Backward Deletion. IScIDE Hoyoung Woo, Cheong Hee Park
2012	C	`conf`	Semi-supervised Ensemble Learning Using Label Propagation. CIT Hoyoung Woo, Cheong Hee Park
2011	J	`jnl`	Analysis of Correlation Based Dimension Reduction Methods. Int. J. Appl. Math. Comput. Sci. Yong Joon Shin, Cheong Hee Park
2011	C	`conf`	Extending Linear Discriminant Analysis by Using Unlabeled Data. CIT Young Tae Lee, Yong Joon Shin, Cheong Hee Park
2010	J	`jnl`	Detection of an Emerging New Class Using Statistical Hypothesis Testing and Density Estimation. Int. J. Pattern Recognit. Artif. Intell. Cheong Hee Park, Hongsuk Shim
2010	J	`jnl`	Improved Algorithms for Unsupervised Discriminant Projection. Int. J. Pattern Recognit. Artif. Intell. Cheong Hee Park
2009	J	`jnl`	A SVM-based discretization method with application to associative classification. Expert Syst. Appl. Cheong Hee Park, Moonhwi Lee
2009	—	`conf`	Semi-supervised Dimension Reduction Using Graph-Based Discriminant Analysis. CIT (1) Gaksoo Lim, Cheong Hee Park
2008	J	`jnl`	A comparison of generalized linear discriminant analysis algorithms. Pattern Recognit. Cheong Hee Park, Haesun Park
2008	—	`conf`	An efficient image normalization method for face recognition under varying illuminations. Multimedia Information Retrieval Moonhwi Lee, Cheong Hee Park
2008	C	`conf`	Dimension reduction using least squares regression in multi-labeled text categorization. CIT Cheong Hee Park
2008	J	`jnl`	On applying linear discriminant analysis for multi-labeled problems. Pattern Recognit. Lett. Cheong Hee Park, Moonhwi Lee
2008	—	`conf`	Selection Of Orthogonal Features In Fisher Discriminant Analysis. IADIS European Conf. Data Mining Zhaojia Sun, Miseon Choi, Cheong Hee Park, Young-Kuk Kim
2007	C	`conf`	Associative Classification Using SVM-Based Discretization. CIS Cheong Hee Park, Moonhwi Lee
2007	—	`conf`	On Applying Dimension Reduction for Multi-labeled Problems. MLDM Moonhwi Lee, Cheong Hee Park
2007	Misc	`conf`	On Detecting an Emerging Class. GrC Cheong Hee Park, Hongsuk Shim
2006	—	`conf`	A closer look at texture metrics for visualization. Human Vision and Electronic Imaging Haleh Hagh-Shenas, Victoria Interrante, Cheong Hee Park
2006	B	`conf`	Similarity-Based Sparse Feature Extraction Using Local Manifold Learning. PAKDD Cheong Hee Park
2005	J	`jnl`	A Relationship between Linear Discriminant Analysis and the Generalized Minimum Squared Error Solution. SIAM J. Matrix Anal. Appl. Cheong Hee Park, Haesun Park
2005	J	`jnl`	Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. Pattern Recognit. Cheong Hee Park, Haesun Park
2005	J	`jnl`	Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition. SIAM J. Matrix Anal. Appl. Cheong Hee Park, Haesun Park
2004	A*	`conf`	A Comparative Study of Linear and Nonlinear Feature Extraction Methods. ICDM Cheong Hee Park, Haesun Park, Panos M. Pardalos
2004	J	`jnl`	An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. IEEE Trans. Pattern Anal. Mach. Intell. Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park
2004	J	`jnl`	Nonlinear feature extraction based on centroids and kernel functions. Pattern Recognit. Cheong Hee Park, Haesun Park
2003	A*	`conf`	A new optimization criterion for generalized discriminant analysis on undersampled problems. ICDM Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park
2003	A*	`conf`	Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. ICDM Cheong Hee Park, Haesun Park