Cheong Hee Park

Orcid: 0000-0002-8233-2206

According to our database1, Cheong Hee Park authored at least 56 papers between 2003 and 2024.

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Bibliography

2024
A collaborative ensemble construction method for federated random forest.
Expert Syst. Appl., 2024

2023
A Comparative Study for Outlier Detection Methods in High Dimensional Text Data.
J. Artif. Intell. Soft Comput. Res., 2023

Prediction of Peak Pressure by Blast Wave Propagation Between Buildings Using a Conditional 3D Convolutional Neural Network.
IEEE Access, 2023

2022
Anomaly Pattern Detection in Streaming Data Based on the Transformation to Multiple Binary-Valued Data Streams.
J. Artif. Intell. Soft Comput. Res., 2022

2021
An explainable outlier detection method using region-partition trees.
J. Supercomput., 2021

A Unified Method for Deinterleaving and PRI Modulation Recognition of Radar Pulses Based on Deep Neural Networks.
IEEE Access, 2021

2020
Jamming Prediction for Radar Signals Using Machine Learning Methods.
Secur. Commun. Networks, 2020

Comparison of incremental linear dimension reduction methods for streaming data.
Pattern Recognit. Lett., 2020

Anomaly pattern detection for streaming data.
Expert Syst. Appl., 2020

Hypergraph Random Walks, Laplacians, and Clustering.
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.
J. Supercomput., 2019

Predicting the EEG Level of a Driver Based on Driving Information.
IEEE Trans. Intell. Transp. Syst., 2019

Emerging topic detection in twitter stream based on high utility pattern mining.
Expert Syst. Appl., 2019

2018
Vehicle re-identification for a parking lot toll system using convolutional neural networks.
Proceedings of the Eleventh International Conference on Machine Vision, 2018

Anomaly Pattern Detection on Data Streams.
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.
IEICE Trans. Inf. Syst., 2017

2016
Driving characteristics analysis of young and middle-aged drivers.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2016

An active learning method for data streams with concept drift.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Concept Drift Detection on Streaming Data under Limited Labeling.
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.
Signal Process., 2015

Prototype-Based Sample Selection for Active Hashing.
J. Comput. Sci., 2015

2014
Driver Workload Characteristics Analysis Using EEG Data From an Urban Road.
IEEE Trans. Intell. Transp. Syst., 2014

2013
Batch Mode Active Learning for Graph-Based Semi-Supervised Learning.
Int. J. Pattern Recognit. Artif. Intell., 2013

Short paper: Study of driver workload-based smartphone control service.
Proceedings of the 2013 IEEE Vehicular Networking Conference, 2013

Automatic number recognition for bus route information aid for the visually-impaired.
Proceedings of the 10th International Conference on Ubiquitous Robots and Ambient Intelligence, 2013

Query by Humming by Using Scaled Dynamic Time Warping.
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.
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013

A Feature Selection Method Using Hierarchical Clustering.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2013

An analysis of driver's workload in the lane change behavior.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2013

Large-scale color holographic display capable of steering view window.
Proceedings of the International Conference on 3D Imaging, 2013

2012
An Efficient Active Learning Method Based on Random Sampling and Backward Deletion.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Semi-supervised Ensemble Learning Using Label Propagation.
Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012

2011
Analysis of Correlation Based Dimension Reduction Methods.
Int. J. Appl. Math. Comput. Sci., 2011

Extending Linear Discriminant Analysis by Using Unlabeled Data.
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.
Int. J. Pattern Recognit. Artif. Intell., 2010

Improved Algorithms for Unsupervised Discriminant Projection.
Int. J. Pattern Recognit. Artif. Intell., 2010

2009
A SVM-based discretization method with application to associative classification.
Expert Syst. Appl., 2009

Semi-supervised Dimension Reduction Using Graph-Based Discriminant Analysis.
Proceedings of the Ninth IEEE International Conference on Computer and Information Technology, 2009

2008
On applying linear discriminant analysis for multi-labeled problems.
Pattern Recognit. Lett., 2008

A comparison of generalized linear discriminant analysis algorithms.
Pattern Recognit., 2008

An efficient image normalization method for face recognition under varying illuminations.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

Selection Of Orthogonal Features In Fisher Discriminant Analysis.
Proceedings of the IADIS European Conference on Data Mining 2008, 2008

Dimension reduction using least squares regression in multi-labeled text categorization.
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2007
On Applying Dimension Reduction for Multi-labeled Problems.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

On Detecting an Emerging Class.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Associative Classification Using SVM-Based Discretization.
Proceedings of the Computational Intelligence and Security, International Conference, 2007

2006
Similarity-Based Sparse Feature Extraction Using Local Manifold Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

A closer look at texture metrics for visualization.
Proceedings of the Human Vision and Electronic Imaging XI, 2006

2005
A Relationship between Linear Discriminant Analysis and the Generalized Minimum Squared Error Solution.
SIAM J. Matrix Anal. Appl., 2005

Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition.
SIAM J. Matrix Anal. Appl., 2005

Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis.
Pattern Recognit., 2005

2004
Nonlinear feature extraction based on centroids and kernel functions.
Pattern Recognit., 2004

An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

A Comparative Study of Linear and Nonlinear Feature Extraction Methods.
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.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003


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