Cheong Hee Park

According to our database, Cheong Hee Park authored at least 55 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Comparative Study for Outlier Detection Methods in High Dimensional Text Data.

Cheong Hee Park

J. Artif. Intell. Soft Comput. Res., 2023

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

2022

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

2021

An explainable outlier detection method using region-partition trees.

Cheong Hee Park, Jiil Kim

J. Supercomput., 2021

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

2020

Jamming Prediction for Radar Signals Using Machine Learning Methods.

Gyeong-Hoon Lee, Jeil Jo, Cheong Hee Park

Secur. Commun. Networks, 2020

Comparison of incremental linear dimension reduction methods for streaming data.

Cheong Hee Park, Gyeong-Hoon Lee

Pattern Recognit. Lett., 2020

Anomaly pattern detection for streaming data.

Taegong Kim, Cheong Hee Park

Expert Syst. Appl., 2020

Hypergraph Random Walks, Laplacians, and Clustering.

Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Outlier and anomaly pattern detection on data streams.

Cheong Hee Park

J. Supercomput., 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

Emerging topic detection in twitter stream based on high utility pattern mining.

Hyeok-Jun Choi, Cheong Hee Park

Expert Syst. Appl., 2019

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

Proceedings of the Eleventh International Conference on Machine Vision, 2018

Anomaly Pattern Detection on Data Streams.

Cheong Hee Park

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling.

Youngin Kim, Cheong Hee Park

IEICE Trans. Inf. Syst., 2017

2016

Driving characteristics analysis of young and middle-aged drivers.

Hyunsuk Kim, Daesub Yoon, HyunSoon Shin, Cheong Hee Park

Proceedings of the International Conference on Information and Communication Technology Convergence, 2016

An active learning method for data streams with concept drift.

Cheong Hee Park, Youngsoon Kang

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Concept Drift Detection on Streaming Data under Limited Labeling.

Young In Kim, Cheong Hee Park

Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2015

Query by humming based on multiple spectral hashing and scaled open-end dynamic time warping.

Cheong Hee Park

Signal Process., 2015

Prototype-Based Sample Selection for Active Hashing.

Cheong Hee Park

J. Comput. Sci., 2015

2014

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

2013

Batch Mode Active Learning for Graph-Based Semi-Supervised Learning.

Cheong Hee Park

Int. J. Pattern Recognit. Artif. Intell., 2013

Short paper: Study of driver workload-based smartphone control service.

Hyunsuk Kim, Yoonsook Hwang, Daesub Yoon, Cheong Hee Park

Proceedings of the 2013 IEEE Vehicular Networking Conference, 2013

Automatic number recognition for bus route information aid for the visually-impaired.

Dongjin Lee, Ho-Sub Yoon, Chankyu Park, Jaehong Kim, Cheong Hee Park

Proceedings of the 10th International Conference on Ubiquitous Robots and Ambient Intelligence, 2013

Query by Humming by Using Scaled Dynamic Time Warping.

Yunji Kim, Cheong Hee Park

Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013

Real-time user pose verification in a depth image for simulator.

Dongjin Lee, Kye Kyung Kim, Chankyu Park, Ho-Sub Yoon, Jaehong Kim, Cheong Hee Park

Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013

A Feature Selection Method Using Hierarchical Clustering.

Cheong Hee Park

Proceedings of the Mining Intelligence and Knowledge Exploration, 2013

An analysis of driver's workload in the lane change behavior.

Hyunsuk Kim, Yoonsook Hwang, Daesub Yoon, Cheong Hee Park

Proceedings of the International Conference on Information and Communication Technology Convergence, 2013

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

Proceedings of the International Conference on 3D Imaging, 2013

2012

An Efficient Active Learning Method Based on Random Sampling and Backward Deletion.

Hoyoung Woo, Cheong Hee Park

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Semi-supervised Ensemble Learning Using Label Propagation.

Hoyoung Woo, Cheong Hee Park

Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012

2011

Analysis of Correlation Based Dimension Reduction Methods.

Yong Joon Shin, Cheong Hee Park

Int. J. Appl. Math. Comput. Sci., 2011

Extending Linear Discriminant Analysis by Using Unlabeled Data.

Young Tae Lee, Yong Joon Shin, Cheong Hee Park

Proceedings of the 11th IEEE International Conference on Computer and Information Technology, 2011

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

Improved Algorithms for Unsupervised Discriminant Projection.

Cheong Hee Park

Int. J. Pattern Recognit. Artif. Intell., 2010

2009

A SVM-based discretization method with application to associative classification.

Cheong Hee Park, Moonhwi Lee

Expert Syst. Appl., 2009

Semi-supervised Dimension Reduction Using Graph-Based Discriminant Analysis.

Gaksoo Lim, Cheong Hee Park

Proceedings of the Ninth IEEE International Conference on Computer and Information Technology, 2009

2008

On applying linear discriminant analysis for multi-labeled problems.

Cheong Hee Park, Moonhwi Lee

Pattern Recognit. Lett., 2008

A comparison of generalized linear discriminant analysis algorithms.

Cheong Hee Park, Haesun Park

Pattern Recognit., 2008

An efficient image normalization method for face recognition under varying illuminations.

Moonhwi Lee, Cheong Hee Park

Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

Selection Of Orthogonal Features In Fisher Discriminant Analysis.

Zhaojia Sun, Miseon Choi, Cheong Hee Park, Young-Kuk Kim

Proceedings of the IADIS European Conference on Data Mining 2008, 2008

Dimension reduction using least squares regression in multi-labeled text categorization.

Cheong Hee Park

Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2007

On Applying Dimension Reduction for Multi-labeled Problems.

Moonhwi Lee, Cheong Hee Park

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

On Detecting an Emerging Class.

Cheong Hee Park, Hongsuk Shim

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Associative Classification Using SVM-Based Discretization.

Cheong Hee Park, Moonhwi Lee

Proceedings of the Computational Intelligence and Security, International Conference, 2007

2006

Similarity-Based Sparse Feature Extraction Using Local Manifold Learning.

Cheong Hee Park

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

A closer look at texture metrics for visualization.

Haleh Hagh-Shenas, Victoria Interrante, Cheong Hee Park

Proceedings of the Human Vision and Electronic Imaging XI, 2006

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

Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition.

Cheong Hee Park, Haesun Park

SIAM J. Matrix Anal. Appl., 2005

Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis.

Cheong Hee Park, Haesun Park

Pattern Recognit., 2005

2004

Nonlinear feature extraction based on centroids and kernel functions.

Cheong Hee Park, Haesun Park

Pattern Recognit., 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

A Comparative Study of Linear and Nonlinear Feature Extraction Methods.

Cheong Hee Park, Haesun Park, Panos M. Pardalos

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003

A new optimization criterion for generalized discriminant analysis on undersampled problems.

Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions.

Cheong Hee Park, Haesun Park

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003