Cheong Hee Park

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 21

Top Topics

Top Venues

Expert Syst. Appl.

IEEE Trans. Intell. Transp. Syst.

J. Supercomput.

Publications

Penjan Antonio Eng Lim, Cheong Hee Park
A collaborative ensemble construction method for federated random forest. Expert Syst. Appl. 255 (2024)
Penjan Antonio Eng Lim, Cheong Hee Park
A collaborative ensemble construction method for federated random forest. CoRR (2024)
Min Ah Kang, Cheong Hee Park
Prediction of Peak Pressure by Blast Wave Propagation Between Buildings Using a Conditional 3D Convolutional Neural Network. IEEE Access 11 (2023)
Cheong Hee Park
A Comparative Study for Outlier Detection Methods in High Dimensional Text Data. J. Artif. Intell. Soft Comput. Res. 13 (1) (2023)
Taegong Kim, Cheong Hee Park
Anomaly Pattern Detection in Streaming Data Based on the Transformation to Multiple Binary-Valued Data Streams. J. Artif. Intell. Soft Comput. Res. 12 (1) (2022)
Cheong Hee Park, Jiil Kim
An explainable outlier detection method using region-partition trees. J. Supercomput. 77 (3) (2021)
Jin-Woo Han, Cheong Hee Park
A Unified Method for Deinterleaving and PRI Modulation Recognition of Radar Pulses Based on Deep Neural Networks. IEEE Access 9 (2021)
Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park
Hypergraph Random Walks, Laplacians, and Clustering. CIKM (2020)
Gyeong-Hoon Lee, Jeil Jo, Cheong Hee Park
Jamming Prediction for Radar Signals Using Machine Learning Methods. Secur. Commun. Networks 2020 (2020)
Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park
Hypergraph Random Walks, Laplacians, and Clustering. CoRR (2020)
Taegong Kim, Cheong Hee Park
Anomaly pattern detection for streaming data. Expert Syst. Appl. 149 (2020)
Cheong Hee Park, Gyeong-Hoon Lee
Comparison of incremental linear dimension reduction methods for streaming data. Pattern Recognit. Lett. 135 (2020)
Hyeok-Jun Choi, Cheong Hee Park
Emerging topic detection in twitter stream based on high utility pattern mining. Expert Syst. Appl. 115 (2019)
Cheong Hee Park
Outlier and anomaly pattern detection on data streams. J. Supercomput. 75 (9) (2019)
Hyunsuk Kim, Daesub Yoon, HyunSoon Shin, Cheong Hee Park
Predicting the EEG Level of a Driver Based on Driving Information. IEEE Trans. Intell. Transp. Syst. 20 (4) (2019)
Cheong Hee Park
Anomaly Pattern Detection on Data Streams. BigComp (2018)
Dongjin Lee, Yongwoo Jo, Seung-Jun Han, Jungyu Kang, Kyoungwook Min, Jeongdan Choi, Cheong Hee Park
Vehicle re-identification for a parking lot toll system using convolutional neural networks. ICMV (2018)
Youngin Kim, Cheong Hee Park
An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling. IEICE Trans. Inf. Syst. (10) (2017)
Young In Kim, Cheong Hee Park
Concept Drift Detection on Streaming Data under Limited Labeling. CIT (2016)
Hyunsuk Kim, Daesub Yoon, HyunSoon Shin, Cheong Hee Park
Driving characteristics analysis of young and middle-aged drivers. ICTC (2016)
Cheong Hee Park, Youngsoon Kang
An active learning method for data streams with concept drift. IEEE BigData (2016)
Cheong Hee Park
Query by humming based on multiple spectral hashing and scaled open-end dynamic time warping. Signal Process. 108 (2015)
Cheong Hee Park
Prototype-Based Sample Selection for Active Hashing. J. Comput. Sci. 11 (7) (2015)
Hyunsuk Kim, Yoonsook Hwang, Daesub Yoon, Wongeun Choi, Cheong Hee Park
Driver Workload Characteristics Analysis Using EEG Data From an Urban Road. IEEE Trans. Intell. Transp. Syst. 15 (4) (2014)
Hyunsuk Kim, Yoonsook Hwang, Daesub Yoon, Cheong Hee Park
Short paper: Study of driver workload-based smartphone control service. VNC (2013)
Cheong Hee Park
A Feature Selection Method Using Hierarchical Clustering. MIKE (2013)
Cheong Hee Park
Batch Mode Active Learning for Graph-Based Semi-Supervised Learning. Int. J. Pattern Recognit. Artif. Intell. 27 (7) (2013)
Dongjin Lee, Kye Kyung Kim, Chankyu Park, Ho-Sub Yoon, Jaehong Kim, Cheong Hee Park
Real-time user pose verification in a depth image for simulator. RO-MAN (2013)
Yunji Kim, Cheong Hee Park
Query by Humming by Using Scaled Dynamic Time Warping. SITIS (2013)
Dongjin Lee, Ho-Sub Yoon, Chankyu Park, Jaehong Kim, Cheong Hee Park
Automatic number recognition for bus route information aid for the visually-impaired. URAI (2013)
Hyun-Eui Kim, Minsik Park, Byung Gyu Chae, Joonku Hahn, Hwi Kim, Cheong Hee Park, Kyungae Moon, Jinwoong Kim
Large-scale color holographic display capable of steering view window. IC3D (2013)
Hyunsuk Kim, Yoonsook Hwang, Daesub Yoon, Cheong Hee Park
An analysis of driver's workload in the lane change behavior. ICTC (2013)
Hoyoung Woo, Cheong Hee Park
Semi-supervised Ensemble Learning Using Label Propagation. CIT (2012)
Hoyoung Woo, Cheong Hee Park
An Efficient Active Learning Method Based on Random Sampling and Backward Deletion. IScIDE (2012)
Yong Joon Shin, Cheong Hee Park
Analysis of Correlation Based Dimension Reduction Methods. Int. J. Appl. Math. Comput. Sci. 21 (3) (2011)
Young Tae Lee, Yong Joon Shin, Cheong Hee Park
Extending Linear Discriminant Analysis by Using Unlabeled Data. CIT (2011)
Cheong Hee Park, Hongsuk Shim
Detection of an Emerging New Class Using Statistical Hypothesis Testing and Density Estimation. Int. J. Pattern Recognit. Artif. Intell. 24 (1) (2010)
Cheong Hee Park
Improved Algorithms for Unsupervised Discriminant Projection. Int. J. Pattern Recognit. Artif. Intell. 24 (2) (2010)
Cheong Hee Park, Moonhwi Lee
A SVM-based discretization method with application to associative classification. Expert Syst. Appl. 36 (3) (2009)
Gaksoo Lim, Cheong Hee Park
Semi-supervised Dimension Reduction Using Graph-Based Discriminant Analysis. CIT (1) (2009)
Cheong Hee Park, Haesun Park
A comparison of generalized linear discriminant analysis algorithms. Pattern Recognit. 41 (3) (2008)
Cheong Hee Park, Moonhwi Lee
On applying linear discriminant analysis for multi-labeled problems. Pattern Recognit. Lett. 29 (7) (2008)
Zhaojia Sun, Miseon Choi, Cheong Hee Park, Young-Kuk Kim
Selection Of Orthogonal Features In Fisher Discriminant Analysis. IADIS European Conf. Data Mining (2008)
Cheong Hee Park
Dimension reduction using least squares regression in multi-labeled text categorization. CIT (2008)
Moonhwi Lee, Cheong Hee Park
An efficient image normalization method for face recognition under varying illuminations. Multimedia Information Retrieval (2008)
Moonhwi Lee, Cheong Hee Park
On Applying Dimension Reduction for Multi-labeled Problems. MLDM (2007)
Cheong Hee Park, Moonhwi Lee
Associative Classification Using SVM-Based Discretization. CIS (2007)
Cheong Hee Park, Hongsuk Shim
On Detecting an Emerging Class. GrC (2007)
Cheong Hee Park
Similarity-Based Sparse Feature Extraction Using Local Manifold Learning. PAKDD (2006)
Haleh Hagh-Shenas, Victoria Interrante, Cheong Hee Park
A closer look at texture metrics for visualization. Human Vision and Electronic Imaging (2006)
Cheong Hee Park, Haesun Park
Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition. SIAM J. Matrix Anal. Appl. 27 (1) (2005)
Cheong Hee Park, Haesun Park
Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. Pattern Recognit. 38 (4) (2005)
Cheong Hee Park, Haesun Park
A Relationship between Linear Discriminant Analysis and the Generalized Minimum Squared Error Solution. SIAM J. Matrix Anal. Appl. 27 (2) (2005)
Cheong Hee Park, Haesun Park, Panos M. Pardalos
A Comparative Study of Linear and Nonlinear Feature Extraction Methods. ICDM (2004)
Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park
An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. IEEE Trans. Pattern Anal. Mach. Intell. 26 (8) (2004)
Cheong Hee Park, Haesun Park
Nonlinear feature extraction based on centroids and kernel functions. Pattern Recognit. 37 (4) (2004)
Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park
A new optimization criterion for generalized discriminant analysis on undersampled problems. ICDM (2003)
Cheong Hee Park, Haesun Park
Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. ICDM (2003)