Dong-Chul Park

发表

An adaptively trained neural network

Robert J. Marks, Mohamed A. El-Sharkawi, Dong-Chul Park, 1991, IEEE Trans. Neural Networks.

Prediction of MPEG video traffic over ATM networks using dynamic bilinear recurrent neural network

Dong-Chul Park, Dong-Chul Park, 2008, Appl. Math. Comput..

Image Classification Using Naïve Bayes Classifier

Dong-Chul Park, 2016 .

Modified SURF-based Object Tracking System

Dong-Chul Park, Miso Jang, 2015 .

Recovery of image blocks using the method of alternating projections

Robert J. Marks, Mohamed A. El-Sharkawi, Dong-Chul Park, 2005, IEEE Transactions on Image Processing.

Gradient based fuzzy c-means (GBFCM) algorithm

Dong-Chul Park, I. Dagher, Dong-Chul Park, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Centroid Neural Network With Directional Spawning of New Weights

Dong-Chul Park, 2015 .

Probabilistic Classifier with Supervised Learning

Dong-Chul Park, 2015 .

Traffic Sign Detection with Color Probability Map Using Artificial Neural Networks

Dong-Chul Park, Vu Thi Hong Hanh, 2016 .

Abstract—unsupervised Competitive Learning Algorithms For

Dong-Chul Park, 2022 .

Classification of MPEG VBR Video Data Using Gradient-Based FCM with Divergence Measure

Dong-Chul Park, 2005, FSKD.

POCS-based Clustering Algorithm

Dong-Chul Park, Le-Anh Tran, Henock M. Deberneh, 2022, 2208.08888.

POCS-based Clustering Algorithm

Dong-Chul Park, Le-Anh Tran, Henock M. Deberneh, 2022, ArXiv.

Comparison of Distance Measures on Fuzzyc-means Algorithm for Image Classification Problem☆

Dong-Chul Park, Dong-Min Woo, Jiho Han, 2013 .

Centroid Neural Network with Pairwise Constraints for Semi-supervised Learning

Dong-Chul Park, Minh Tran Ngoc, 2018, Neural Processing Letters.

Image Data Classification Using Fuzzy c-Means Algorithm with Different Distance Measures

Dong-Chul Park, Dong-Chul Park, 2013, ISNN.

Satellite Image Classification Using a Divergence-Based Fuzzy c-Means Algorithm

Dong-Chul Park, Dong-Chul Park, 2012, ICISP.

Classification of Audio Data Using a Centroid Neural Network

Dong-Chul Park, Dong-Chul Park, 2010, 2010 International Conference on Information Science and Applications.

Intuitive Fuzzy C-Means Algorithm for MRI Segmentation

Dong-Chul Park, Dong-Chul Park, 2010, 2010 International Conference on Information Science and Applications.

Centroid Neural Network with Spatial Constraints

Dong-Chul Park, Dong-Chul Park, 2009, PAKDD.

Reduction of Noise in Image Data Using Spatial Constraints-based Centroid Neural Network

Dong-Chul Park, Dong-Chul Park, 2009, 2009 International Conference on Electronic Computer Technology.

Kernel-Based Centroid Neural Network with Spatial Constraints for Image Segmentation

Dong-Chul Park, Yunsik Lee, Dong-Min Woo, 2008, 2008 Fourth International Conference on Natural Computation.

Classification of Image Data Using Gradient-Based Fuzzy C-Means with Mercer Kernel

Dong-Chul Park, Dong-Chul Park, 2008, ICIC.

Centroid Neural Network with Bhattacharyya Kernel for GPDF Data Clustering

Dong-Chul Park, Song-Jae Lee, Dong-Chul Park, 2007, PAKDD.

Content-Based Classification of Images Using Centroid Neural Network with Divergence Measure

Dong-Chul Park, Chung-Nguyen Tran, Yunsik Lee, 2006, Australian Conference on Artificial Intelligence.

MPEG Video Traffic Modeling and Classification Using Fuzzy C-Means Algorithm with Divergence-Based Kernel

Dong-Chul Park, Chung-Nguyen Tran, Dong-Chul Park, 2006, ICONIP.

Fuzzy C-Means Algorithm with Divergence-Based Kernel

Dong-Chul Park, Chung-Nguyen Tran, Minsoo Suk, 2006, FSKD.

Modeling and Classification of Audio Signals Using Gradient-Based Fuzzy C-Means Algorithm with a Mercer Kernel

Dong-Chul Park, Sancho Park, Chung-Nguyen Tran, 2006, PRICAI.

Centroid neural network for unsupervised competitive learning

Dong-Chul Park, Dong-Chul Park, 2000, IEEE Trans. Neural Networks Learn. Syst..

A performance comparison of trained multilayer perceptrons and trained classification trees

Robert J. Marks, Les E. Atlas, Ronald A. Cole, 1989, Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics.

Prediction of Network Traffic Using Multiscale-Bilinear Recurrent Neural Network with Adaptive Learning

Dong-Chul Park, Dong-Chul Park, 2008, ICIC.

Multiscale BiLinear Recurrent Neural Network for Prediction of MPEG Video Traffic

Min-Woo Lee, Dong-Chul Park, Yunsik Lee, 2007, PAKDD.

Effects of the change of window size on the performance of correlation-based stereo

Dong-Chul Park, Yunsik Lee, Dong-Min Woo, 2010, 2010 International Conference on Information, Networking and Automation (ICINA).

Intensifying the Performance of Nonlinearity Approximation by an Optimal Fuzzy System

Dong-Min Woo, Dong-Chul Park, Seung-Soo Han, 2010, 2010 International Conference on Information Science and Applications.

Standard Additive Fuzzy System for Stock Price Forecasting

Dong-Chul Park, Dong-Min Woo, Thanh Nguyen, 2010, ACIIDS.

In-Storage Computing for Hadoop MapReduce Framework: Challenges and Possibilities

Jianguo Wang, Dong-Chul Park, Yang-Suk Kee, 2016 .

Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS) pdf

My-Ha Le, Dong-Chul Park, Truong-Dong Do, 2021, ArXiv.

Enhancement of Robustness in Object Detection Module for Advanced Driver Assistance Systems

My-Ha Le, Truong-Dong Do, Le-Anh Tran, 2021, 2021 International Conference on System Science and Engineering (ICSSE).

Financial Time Series Prediction in Cooperating with Event Knowledge: A Fuzzy Approach

Dong-Chul Park, Dong-Min Woo, Do-Thanh Sang, 2010, MICAI.

Standard Additive Model in Data Mining

Dong-Chul Park, Dong-Min Woo, Do-Thanh Sang, 2010, 2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.

Multiscale BiLinear Recurrent Neural Networks and Their Application to the Long-Term Prediction of Network Traffic

Dong-Chul Park, Chung-Nguyen Tran, Yunsik Lee, 2006, ISNN.

Image classification using Gradient-Based Fuzzy c-Means with Divergence Measure

Dong-Chul Park, Dong-Min Woo, Dong-Chul Park, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A Time Series Data Prediction Scheme Using Bilinear Recurrent Neural Network

Dong-Chul Park, Dong-Chul Park, 2010, 2010 International Conference on Information Science and Applications.

Extraction of 3D Line Segment Using Disparity Map

Dong-Chul Park, Dong-Min Woo, Seung Soo Han, 2009, 2009 International Conference on Digital Image Processing.

Centroid neural network with Chi square distance measure for texture classification

Dong-Chul Park, Yunsik Lee, Dong-Min Woo, 2009, 2009 International Joint Conference on Neural Networks.

SSD In-Storage Computing for Search Engines

Yannis Papakonstantinou, Steven Swanson, Dong-Chul Park, 2016 .

Complex-bilinear recurrent neural network for equalization of a digital satellite channel

Dong-Chul Park, Tae-Kyun Jung Jeong, Dong-Chul Park, 2002, IEEE Trans. Neural Networks.

Complex bilinear recurrent neural network for equalization of a digital satellite channel

Dong-Chul Park, Tae-Kyun Jung Jeong, Dong-Chul Park, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Classification of audio signals using Fuzzy c-Means with divergence-based Kernel

Dong-Chul Park, Dong-Chul Park, 2009, Pattern Recognit. Lett..

Classification of Audio Signals Using Gradient-Based Fuzzy c-Means Algorithm with Divergence Measure

Dong-Chul Park, Duc-Hoai Nguyen, Seung-Hwa Beack, 2005, PCM.

Applying an Artificial Neural Network to Building Reconstruction

Dong-Chul Park, Dong-Min Woo, Hai-Nguyen Ho, 2010, ISICA.

Clustering of 3D Line Segments using Centroid Neural Network for Building Detection

Dong-Chul Park, Dong-Min Woo, Soo-Young Min, 2014, J. Circuits Syst. Comput..

A Web Information Retrieval System

Dong-Chul Park, Yunsik Lee, Tae-Hyun Kim, 2011, ICIC 2011.

Classification of Video Data Using Centroid Neural Network with Bhattacharyya Kernel

Dong-Chul Park, Dong-Chul Park, 2009, 2009 International Conference on Electronic Computer Technology.

Classification of MPEG Video Content Using Divergence Measure with Data Covariance

Dong-Chul Park, Chung-Nguyen Tran, Yunsik Lee, 2005, PCM.

Classification of MPEG VBR Video Data Using Gradient-Based FCM with Divergence Measure

Dong-Chul Park, Dong-Chul Park, 2005, FSKD.

Terrain Classification Based on 3D Co-occurrence Features

Dong-Chul Park, Dong-Min Woo, Quoc-Dat Nguyen, 2007, ICIC.

Application of 3D Co-occurrence Features to Terrain Classification

Dong-Chul Park, Dong-Min Woo, Seung Soo Han, 2006, PSIVT.

Effects of 3D Co-Occurrence Features on Terrain Classification

Dong-Chul Park, Dong-Min Woo, Quoc-Dat Nguyen, 2008 .

A shortest path routing algorithm using Hopfield neural network with an improved energy function

Dong-Chul Park, Kyo-Reen Keum, Dong-Chul Park, 2009, Int. J. Gen. Syst..

A neural network based multi-destination routing algorithm for communication network

Dong-Chul Park, Seung-Eok Choi, Dong-Chul Park, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Satellite image classification using a classifier integration model

Dong-Chul Park, Yunsik Lee, Soo-Young Min, 2011, 2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA).

Classification of Satellite Images Using Partitioned-Feature Based Classifier Model

Dong-Chul Park, Dong-Chul Park, 2011, 2011 International Conference on Information Science and Applications.

Satellite image classification using convolutional learning

Thao Nguyen, Dong-Chul Park, Jiho Han, 2013 .

Practical experiences with an adaptive neural network short-term load forecasting system

Osama A. Mohammed, R. Merchant, T. Dinh, 1995 .

Multiple Feature-Based Classifier and Its Application to Image Classification

Dong-Chul Park, Dong-Chul Park, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Application of Classifier Integration Model with Convolutional Neural Networks to an Object Classification Task

Dong-Chul Park, Dong-Chul Park, 2015 .

Long-Term Prediction of Ethernet Traffic Using Multiscale-Bilinear Recurrent Neural Network with Adaptive Learning

Dong-Chul Park, Dong-Chul Park, 2010, J. Circuits Syst. Comput..

Structure optimization of BiLinear Recurrent Neural Networks and its application to Ethernet network traffic prediction

Dong-Chul Park, Dong-Chul Park, 2013, Inf. Sci..

Stereoscopic Modeling of Building Rooftop from IKONOS Satellite Image Data

Dong-Chul Park, Dong-Min Woo, Dong-Chul Park, 2011, 2011 International Conference on Information Science and Applications.

Intuitive fuzzy c-means algorithm

Dong-Chul Park, Dong-Chul Park, 2009, 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).