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ORCIDCheong Hee Park
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2020 – today
- 2024
[j28]Penjan Antonio Eng Lim
, Cheong Hee Park:
A collaborative ensemble construction method for federated random forest. Expert Syst. Appl. 255: 124742 (2024)- [i2]Penjan Antonio Eng Lim, Cheong Hee Park:
A collaborative ensemble construction method for federated random forest. CoRR abs/2407.19193 (2024) - 2023
- [j27]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: 26114-26124 (2023) - [j26]Cheong Hee Park:
A Comparative Study for Outlier Detection Methods in High Dimensional Text Data. J. Artif. Intell. Soft Comput. Res. 13(1): 5-17 (2023) - 2022
- [j25]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): 19-27 (2022) - 2021
- [j24]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: 89360-89375 (2021) - [j23]Cheong Hee Park, Jiil Kim:
An explainable outlier detection method using region-partition trees. J. Supercomput. 77(3): 3062-3076 (2021) - 2020
- [j22]Taegong Kim, Cheong Hee Park:
Anomaly pattern detection for streaming data. Expert Syst. Appl. 149: 113252 (2020) - [j21]Cheong Hee Park, Gyeong-Hoon Lee:
Comparison of incremental linear dimension reduction methods for streaming data. Pattern Recognit. Lett. 135: 15-21 (2020) - [j20]Gyeong-Hoon Lee, Jeil Jo, Cheong Hee Park:
Jamming Prediction for Radar Signals Using Machine Learning Methods. Secur. Commun. Networks 2020: 2151570:1-2151570:9 (2020) - [c28]Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park:
Hypergraph Random Walks, Laplacians, and Clustering. CIKM 2020: 495-504 - [i1]Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park:
Hypergraph Random Walks, Laplacians, and Clustering. CoRR abs/2006.16377 (2020)
2010 – 2019
- 2019
- [j19]Hyeok-Jun Choi, Cheong Hee Park:
Emerging topic detection in twitter stream based on high utility pattern mining. Expert Syst. Appl. 115: 27-36 (2019) - [j18]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): 1215-1225 (2019) - [j17]Cheong Hee Park:
Outlier and anomaly pattern detection on data streams. J. Supercomput. 75(9): 6118-6128 (2019) - 2018
- [c27]Cheong Hee Park:
Anomaly Pattern Detection on Data Streams. BigComp 2018: 689-692 - [c26]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: 110412K - 2017
- [j16]Youngin Kim, Cheong Hee Park:
An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling. IEICE Trans. Inf. Syst. 100-D(10): 2537-2546 (2017) - 2016
- [c25]Young In Kim, Cheong Hee Park:
Concept Drift Detection on Streaming Data under Limited Labeling. CIT 2016: 273-280 - [c24]Cheong Hee Park, Youngsoon Kang:
An active learning method for data streams with concept drift. IEEE BigData 2016: 746-752 - [c23]Hyunsuk Kim, Daesub Yoon, HyunSoon Shin, Cheong Hee Park:
Driving characteristics analysis of young and middle-aged drivers. ICTC 2016: 864-867 - 2015
- [j15]Cheong Hee Park:
Prototype-Based Sample Selection for Active Hashing. J. Comput. Sci. 11(7): 839-844 (2015) - [j14]Cheong Hee Park:
Query by humming based on multiple spectral hashing and scaled open-end dynamic time warping. Signal Process. 108: 220-225 (2015) - 2014
- [j13]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): 1844-1849 (2014) - 2013
- [j12]Cheong Hee Park:
Batch Mode Active Learning for Graph-Based Semi-Supervised Learning. Int. J. Pattern Recognit. Artif. Intell. 27(7) (2013) - [c22]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: 1-4 - [c21]Hyunsuk Kim, Yoonsook Hwang, Daesub Yoon, Cheong Hee Park:
An analysis of driver's workload in the lane change behavior. ICTC 2013: 242-247 - [c20]Cheong Hee Park:
A Feature Selection Method Using Hierarchical Clustering. MIKE 2013: 1-6 - [c19]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: 316-317 - [c18]Yunji Kim, Cheong Hee Park:
Query by Humming by Using Scaled Dynamic Time Warping. SITIS 2013: 1-5 - [c17]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: 280-284 - [c16]Hyunsuk Kim, Yoonsook Hwang, Daesub Yoon, Cheong Hee Park:
Short paper: Study of driver workload-based smartphone control service. VNC 2013: 230-233 - 2012
- [c15]Hoyoung Woo, Cheong Hee Park:
Semi-supervised Ensemble Learning Using Label Propagation. CIT 2012: 421-426 - [c14]Hoyoung Woo, Cheong Hee Park:
An Efficient Active Learning Method Based on Random Sampling and Backward Deletion. IScIDE 2012: 683-691 - 2011
- [j11]Yong Joon Shin, Cheong Hee Park:
Analysis of Correlation Based Dimension Reduction Methods. Int. J. Appl. Math. Comput. Sci. 21(3): 549-558 (2011) - [c13]Young Tae Lee, Yong Joon Shin, Cheong Hee Park:
Extending Linear Discriminant Analysis by Using Unlabeled Data. CIT 2011: 557-562 - 2010
- [j10]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): 1-14 (2010) - [j9]Cheong Hee Park:
Improved Algorithms for Unsupervised Discriminant Projection. Int. J. Pattern Recognit. Artif. Intell. 24(2): 193-206 (2010)
2000 – 2009
- 2009
- [j8]Cheong Hee Park, Moonhwi Lee:
A SVM-based discretization method with application to associative classification. Expert Syst. Appl. 36(3): 4784-4787 (2009) - [c12]Gaksoo Lim, Cheong Hee Park:
Semi-supervised Dimension Reduction Using Graph-Based Discriminant Analysis. CIT (1) 2009: 9-13 - 2008
- [j7]Cheong Hee Park, Haesun Park:
A comparison of generalized linear discriminant analysis algorithms. Pattern Recognit. 41(3): 1083-1097 (2008) - [j6]Cheong Hee Park, Moonhwi Lee:
On applying linear discriminant analysis for multi-labeled problems. Pattern Recognit. Lett. 29(7): 878-887 (2008) - [c11]Cheong Hee Park:
Dimension reduction using least squares regression in multi-labeled text categorization. CIT 2008: 71-76 - [c10]Zhaojia Sun, Miseon Choi, Cheong Hee Park, Young-Kuk Kim:
Selection Of Orthogonal Features In Fisher Discriminant Analysis. IADIS European Conf. Data Mining 2008: 102-106 - [c9]Moonhwi Lee, Cheong Hee Park:
An efficient image normalization method for face recognition under varying illuminations. Multimedia Information Retrieval 2008: 128-133 - 2007
- [c8]Cheong Hee Park, Moonhwi Lee:
Associative Classification Using SVM-Based Discretization. CIS 2007: 171-175 - [c7]Cheong Hee Park, Hongsuk Shim:
On Detecting an Emerging Class. GrC 2007: 265-270 - [c6]Moonhwi Lee, Cheong Hee Park:
On Applying Dimension Reduction for Multi-labeled Problems. MLDM 2007: 131-143 - 2006
- [c5]Haleh Hagh-Shenas, Victoria Interrante, Cheong Hee Park:
A closer look at texture metrics for visualization. Human Vision and Electronic Imaging 2006: 60570W - [c4]Cheong Hee Park:
Similarity-Based Sparse Feature Extraction Using Local Manifold Learning. PAKDD 2006: 30-34 - 2005
- [j5]Cheong Hee Park, Haesun Park:
Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. Pattern Recognit. 38(4): 495-503 (2005) - [j4]Cheong Hee Park, Haesun Park:
Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition. SIAM J. Matrix Anal. Appl. 27(1): 87-102 (2005) - [j3]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): 474-492 (2005) - 2004
- [j2]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): 982-994 (2004) - [j1]Cheong Hee Park, Haesun Park:
Nonlinear feature extraction based on centroids and kernel functions. Pattern Recognit. 37(4): 801-810 (2004) - [c3]Cheong Hee Park, Haesun Park, Panos M. Pardalos:
A Comparative Study of Linear and Nonlinear Feature Extraction Methods. ICDM 2004: 495-498 - 2003
- [c2]Cheong Hee Park, Haesun Park:
Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. ICDM 2003: 243-250 - [c1]Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park:
A new optimization criterion for generalized discriminant analysis on undersampled problems. ICDM 2003: 419-426
Coauthor Index
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last updated on 2024-10-07 21:14 CEST by the dblp team
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