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Dong-Chul Park 0002
Person information
- affiliation: Myongji University, Yongin, South Korea
Other persons with the same name
- Dong-Chul Park — disambiguation page
- Dong-Chul Park 0001 (aka: Dong C. Park 0001) — University of Washington, Seattle, WA, USA
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2020 – today
- 2024
- [i7]Le-Anh Tran, Chung Nguyen Tran, Dong-Chul Park, Jordi Carrabina, David Castells-Rufas:
Toward Improving Robustness of Object Detectors Against Domain Shift. CoRR abs/2403.12049 (2024) - [i6]Le-Anh Tran, Dong-Chul Park:
Haze Removal via Regional Saturation-Value Translation and Soft Segmentation. CoRR abs/2403.12054 (2024) - 2023
- [c61]Le-Anh Tran
, Thanh-Dat Nguyen, Truong-Dong Do, Chung Nguyen Tran, Daehyun Kwon, Dong-Chul Park:
Embedding Clustering via Autoencoder and Projection onto Convex Set. ICSSE 2023: 128-133 - [i5]Le-Anh Tran, Dong-Chul Park:
Feature Embedding Clustering using POCS-based Clustering Algorithm. CoRR abs/2305.00001 (2023) - 2022
- [c60]Le-Anh Tran
, Henock M. Deberneh, Truong-Dong Do, Thanh-Dat Nguyen, My-Ha Le, Dong-Chul Park:
POCS-based Clustering Algorithm. IWIS 2022: 1-6 - [i4]Le-Anh Tran, Seok-Yong Moon, Dong-Chul Park:
A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image Dehazing. CoRR abs/2202.04757 (2022) - [i3]Le-Anh Tran, Henock M. Deberneh, Truong-Dong Do, Thanh-Dat Nguyen, My-Ha Le, Dong-Chul Park:
POCS-based Clustering Algorithm. CoRR abs/2208.08888 (2022) - [i2]Le-Anh Tran, Dong-Chul Park:
Encoder-Decoder Network with Guided Transmission Map: Architecture - Extended Abstract. CoRR abs/2212.05936 (2022) - 2021
- [c59]Le-Anh Tran
, Truong-Dong Do, Dong-Chul Park, My-Ha Le:
Enhancement of Robustness in Object Detection Module for Advanced Driver Assistance Systems. ICSSE 2021: 158-163 - [i1]Le-Anh Tran, Truong-Dong Do, Dong-Chul Park, My-Ha Le:
Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS). CoRR abs/2105.01580 (2021)
2010 – 2019
- 2018
- [j3]Minh Tran Ngoc, Dong-Chul Park
:
Centroid Neural Network with Pairwise Constraints for Semi-supervised Learning. Neural Process. Lett. 48(3): 1721-1747 (2018) - 2014
- [j2]Dong-Chul Park, Dong-Min Woo, Chang-Sun Kim, Soo-Young Min:
Clustering of 3D Line Segments using Centroid Neural Network for Building Detection. J. Circuits Syst. Comput. 23(5) (2014) - 2012
- [c58]Do-Thanh Sang, Dong-Min Woo, Dong-Chul Park:
Color Image Segmentation Using Centroid Neural Network. AICI 2012: 588-595 - [c57]Dong-Chul Park:
Satellite Image Classification Using a Divergence-Based Fuzzy c-Means Algorithm. ICISP 2012: 555-561 - [c56]Do-Thanh Sang, Dong-Min Woo, Dong-Chul Park:
Centroid Neural Network with Simulated Annealing and Its Application to Color Image Segmentation. ICONIP (3) 2012: 1-8 - 2011
- [c55]Dong-Min Woo, Dong-Chul Park:
Stereoscopic Building Reconstruction Using High-Resolution Satellite Image Data. ACIS-ICIS 2011: 194-198 - [c54]Dong-Chul Park, Taekyung Jeong, Yunsik Lee, Soo-Young Min:
Satellite image classification using a classifier integration model. AICCSA 2011: 90-94 - [c53]Tae-Hyun Kim, Dong-Chul Park, Dong-Min Woo, Taikyeong Jeong, Soo-Young Min:
Multi-class Classifier-Based Adaboost Algorithm. IScIDE 2011: 122-127 - 2010
- [c52]Do-Thanh Sang, Thanh Nguyen
, Dong-Min Woo, Dong-Chul Park:
Standard Additive Fuzzy System for Stock Price Forecasting. ACIIDS (2) 2010: 279-288 - [c51]Jae-Young Kim, Dong-Chul Park, Dong-Min Woo:
Application of Pruned Bilinear Recurrent Neural Network to load prediction. AICCSA 2010: 1-4 - [c50]Dong-Min Woo, Hai-Nguyen Ho, Dong-Chul Park:
3D building modeling based on 3D line grouping using centroid neural network. AICCSA 2010: 1-4 - [c49]Dong-Min Woo, Dong-Chul Park, Hai-Nguyen Ho:
Applying an Artificial Neural Network to Building Reconstruction. ISICA (1) 2010: 412-423 - [c48]Nguyen Thi Bich Huyen, Dong-Chul Park, Dong-Min Woo:
Gradient-based Local Descriptor and Centroid Neural Network for Face Recognition. ISNN (2) 2010: 192-199 - [c47]Tae-Hyun Kim, Dong-Chul Park, Dong-Min Woo, Woong Huh, Chung-Hwa Yoon, Hyen-Ug Kim, Yunsik Lee:
Sunspot series prediction using a Multiscale Recurrent Neural Network. ISSPIT 2010: 399-403 - [c46]Do-Thanh Sang, Dong-Min Woo, Dong-Chul Park, Thanh Thi Nguyen
:
Financial Time Series Prediction in Cooperating with Event Knowledge: A Fuzzy Approach. MICAI (2) 2010: 406-417 - [c45]Jae-Young Kim, Dong-Chul Park, Dong-Min Woo:
Electric Load Prediction Using a Bilinear Recurrent Neural Network. UKSim 2010: 404-407
2000 – 2009
- 2009
- [c44]Dong-Min Woo, Dong-Chul Park:
Implicit Camera Calibration Using MultiLayer Perceptron Type Neural Network. ACIIDS 2009: 313-317 - [c43]Dong-Min Woo, Dong-Chul Park:
Rooftop Detection Based on 3D Line Data Using Fast Graph Search. HIS (3) 2009: 442-446 - [c42]Dong-Min Woo, Dong-Chul Park, Seung Soo Han:
Extraction of 3D Line Segment Using Disparity Map. ICDIP 2009: 127-131 - [c41]Dong-Chul Park, Dong-Min Woo:
Prediction of Network Traffic Using Dynamic Bilinear Recurrent Neural Network. ICNC (2) 2009: 419-423 - [c40]Vu Thi Lan Huong, Dong-Chul Park, Yunsik Lee:
Centroid neural network for face recognition. IJCNN 2009: 1304-1309 - [c39]Vu Thi Lan Huong, Dong-Chul Park, Dong-Min Woo, Yunsik Lee:
Centroid neural network with Chi square distance measure for texture classification. IJCNN 2009: 1310-1315 - [c38]Dong-Min Woo, Dong-Chul Park:
Stereo line matching based on the combination of geometric and intensity data. ISCIS 2009: 581-585 - [c37]Dong-Chul Park, Vu Thi Lan Huong, Dong-Min Woo, Duong Ngoc Hieu, Sai Thi Hien Ninh:
Information Extraction System Based on Hidden Markov Model. ISNN (1) 2009: 52-59 - [c36]Dong-Min Woo, Dong-Chul Park:
Implicit Camera Calibration Based on a Nonlinear Modeling Function of an Artificial Neural Network. ISNN (1) 2009: 967-975 - [c35]Dong-Chul Park, Yunsik Lee, Dong-Min Woo:
Classification of Audio Signals Using a Bhattacharyya Kernel-Based Centroid Neural Network. PAKDD 2009: 604-611 - [c34]Dong-Chul Park:
Centroid Neural Network with Spatial Constraints. PAKDD 2009: 915-922 - 2008
- [c33]Dong-Chul Park:
Classification of Image Data Using Gradient-Based Fuzzy C-Means with Mercer Kernel. ICIC (2) 2008: 376-383 - [c32]Dong-Chul Park, Nhon Huu Tran, Dong-Min Woo, Yunsik Lee:
Kernel-Based Centroid Neural Network with Spatial Constraints for Image Segmentation. ICNC (3) 2008: 236-240 - [c31]Dong-Chul Park, Dong-Min Woo:
Image classification using Gradient-Based Fuzzy c-Means with Divergence Measure. IJCNN 2008: 2520-2524 - [c30]Dong-Min Woo, Dong-Chul Park, Seung Soo Han, Quoc-Dat Nguyen:
Building Extraction Using Fast Graph Search. ISNN (2) 2008: 367-375 - [c29]Vu Thi Lan Huong, Byung-Jae Min, Dong-Chul Park, Dong-Min Woo:
A New Vocoder based on AMR 7.4kbit/s Mode in Speaker Dependent Coding System. SNPD 2008: 163-167 - 2007
- [j1]Dong-Min Woo, Dong-Chul Park, Quoc-Dat Nguyen:
Terrain Classification Using 3D Co-Occurrence Features and Neural Networks. Int. J. Inf. Acquis. 4(4): 317-325 (2007) - [c28]Dong-Min Woo, Dong-Chul Park, Young-Soo Song, Quoc-Dat Nguyen, Quang-Dung Nguyen Tran:
Terrain Classification Based on 3D Co-occurrence Features. ICIC (1) 2007: 1266-1274 - [c27]Dong-Min Woo, Dong-Chul Park, Young-Soo Song, Quoc-Dat Nguyen, Quang-Dung Nguyen Tran:
Terrain Classification Using Clustering Algorithms. ICNC (1) 2007: 315-319 - [c26]Dong-Chul Park, Yunsik Lee:
Equalization of 16 QAM Signals with Reduced BiLinear Recurrent Neural Network. IEA/AIE 2007: 601-610 - [c25]Dong-Chul Park, Young-Soo Song, Dong-Min Woo:
Equalization of 8PSK Signals with a Recurrent Neural Network. ISNN (3) 2007: 105-110 - [c24]Sung Hwan Shin, Dong-Chul Park:
Short-Term Load Forecasting Using BiLinear Recurrent Neural Network. ISNN (3) 2007: 111-116 - [c23]Min-Woo Lee, Dong-Chul Park, Yunsik Lee:
Multiscale BiLinear Recurrent Neural Network for Prediction of MPEG Video Traffic. PAKDD 2007: 131-137 - [c22]Byung-Jae Min, Dong-Chul Park, Hwan-Soo Choi:
Multiresolution-Based BiLinear Recurrent Neural Network. PAKDD 2007: 217-223 - [c21]Song-Jae Lee, Dong-Chul Park:
Centroid Neural Network with Bhattacharyya Kernel for GPDF Data Clustering. PAKDD 2007: 616-622 - 2006
- [c20]Dong-Chul Park, Chung-Nguyen Tran, Yunsik Lee:
Content-Based Classification of Images Using Centroid Neural Network with Divergence Measure. Australian Conference on Artificial Intelligence 2006: 729-738 - [c19]Young-Soo Song, Dong-Chul Park, Chung-Nguyen Tran, Hwan-Soo Choi, Minsoo Suk:
Fuzzy C-Means Algorithm with Divergence-Based Kernel. FSKD 2006: 99-108 - [c18]Byung-Jae Min, Chung-Nguyen Tran, Dong-Chul Park:
Multiscale BiLinear Recurrent Neural Network with an Adaptive Learning Algorithm. ICNC (1) 2006: 497-506 - [c17]Chung-Nguyen Tran, Dong-Chul Park:
MPEG Video Traffic Modeling and Classification Using Fuzzy C-Means Algorithm with Divergence-Based Kernel. ICONIP (2) 2006: 439-447 - [c16]Dong-Min Woo, Dong-Chul Park:
Implicit Camera Calibration Using an Artificial Neural Network. ICONIP (2) 2006: 641-650 - [c15]Chung-Nguyen Tran, Dong-Chul Park, Hwan-Soo Choi:
Short-Term Load Forecasting Using Multiscale BiLinear Recurrent Neural Network with an Adaptive Learning Algorithm. ICONIP (2) 2006: 964-973 - [c14]Dong-Chul Park, Chung-Nguyen Tran, Yunsik Lee:
Multiscale BiLinear Recurrent Neural Networks and Their Application to the Long-Term Prediction of Network Traffic. ISNN (2) 2006: 196-201 - [c13]Kyung-Han Ryu, Song-Jae Lee, Jaehyun Park, Dong-Chul Park, Sang Hong:
Fault Detection of Reactive Ion Etching Using Time Series Neural Networks. ISNN (2) 2006: 376-381 - [c12]Dong-Chul Park, Duc-Hoai Nguyen, Song-Jae Lee, Yunsik Lee:
Heterogeneous Centroid Neural Networks. ISNN (1) 2006: 689-694 - [c11]Dong-Chul Park, Chung-Nguyen Tran, Sancho Park:
Gradient Based Fuzzy C-Means Algorithm with a Mercer Kernel. ISNN (1) 2006: 1038-1043 - [c10]Dong-Chul Park, Chung-Nguyen Tran, Young-Soo Song, Yunsik Lee:
Prediction of MPEG Video Source Traffic Using BiLinear Recurrent Neural Networks. PRICAI 2006: 298-307 - [c9]Dong-Chul Park, Chung-Nguyen Tran, Yunsik Lee:
Short-Term Load Forecasting Using Multiscale BiLinear Recurrent Neural Network. PRICAI 2006: 329-338 - [c8]Dong-Chul Park, Chung-Nguyen Tran, Byung-Jae Min, Sancho Park:
Modeling and Classification of Audio Signals Using Gradient-Based Fuzzy C-Means Algorithm with a Mercer Kernel. PRICAI 2006: 1104-1108 - [c7]Dong-Min Woo, Dong-Chul Park, Seung Soo Han, Quoc-Dat Nguyen:
Application of 3D Co-occurrence Features to Terrain Classification. PSIVT 2006: 305-313 - 2005
- [c6]Dong-Chul Park:
Classification of MPEG VBR Video Data Using Gradient-Based FCM with Divergence Measure. FSKD (1) 2005: 475-483 - [c5]Dong-Chul Park, Duc-Hoai Nguyen, Sang Jeen Hong, Yunsik Lee:
Equalization of a Wireless ATM Channel with Simplified Complex Bilinear Recurrent Neural Network. ICNC (1) 2005: 1113-1116 - [c4]Dong-Chul Park:
Gradient-Based FCM and a Neural Network for Clustering of Incomplete Data. ICNC (1) 2005: 1266-1269 - [c3]Dong-Chul Park, Duc-Hoai Nguyen, Seung-Hwa Beack, Sancho Park:
Classification of Audio Signals Using Gradient-Based Fuzzy c-Means Algorithm with Divergence Measure. PCM (1) 2005: 698-708 - [c2]Dong-Chul Park, Chung-Nguyen Tran, Yunsik Lee:
Classification of MPEG Video Content Using Divergence Measure with Data Covariance. PCM (1) 2005: 969-980
1990 – 1999
- 1999
- [c1]Dong-Chul Park, Jio Jung, Seok-Yong Moon, Yong Cho:
A HMM training algorithm with query-based learning for refinement of classification boundary. IJCNN 1999: 3063-3068
Coauthor Index
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