default search action
Cheong Hee Park
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
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
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
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
Jamming Prediction for Radar Signals Using Machine Learning Methods. Secur. Commun. Networks 2020: 2151570:1-2151570:9 (2020) - [c28]Koby Hayashi
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
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
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: