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Byoung Chul Ko

Showing results (11-20 of 19) with videos related to

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Sensors (Basel, Switzerland)|November 14, 2014
Fast human detection for intelligent monitoring using surveillance visible sensorsByoung Chul Ko, Mira Jeong, JaeYeal Nam
Sensors (Basel, Switzerland)|April 30, 2021
Model Simplification of Deep Random Forest for Real-Time Applications of Various Sensor DataSangwon Kim, Byoung-Chul Ko, Jaeyeal Nam
Journal of Digital Imaging|December 24, 2011
Automatic medical image annotation and keyword-based image retrieval using relevance feedbackByoung Chul Ko, JiHyeon Lee, Jae-Yeal Nam
Sensors (Basel, Switzerland)|June 26, 2015
Classification of Potential Water Bodies Using Landsat 8 OLI and a Combination of Two Boosted Random Forest ClassifiersByoung Chul Ko, Hyeong Hun Kim, Jae Yeal Nam
Sensors (Basel, Switzerland)|September 30, 2020
Light-Weight Student LSTM for Real-Time Wildfire Smoke DetectionMira Jeong, MinJi Park, Jaeyeal Nam, et al.
Journal of Digital Imaging|April 14, 2011
X-ray image classification using random forests with local wavelet-based CS-local binary patternsByoung Chul Ko, Seong Hoon Kim, Jae-Yeal Nam
Micron (Oxford, England : 1993)|May 3, 2011
Automatic white blood cell segmentation using stepwise merging rules and gradient vector flow snakeByoung Chul Ko, Ja-Won Gim, Jae-Yeal Nam
Sensors (Basel, Switzerland)|December 11, 2022
Lightweight Semantic-Guided Neural Networks Based on Single Head Attention for Action RecognitionSeon-Bin Kim, Chanhyuk Jung, Byeong-Il Kim, et al.
Sensors (Basel, Switzerland)|April 13, 2023
High-Resolution Tactile-Sensation Diagnostic Imaging System for Thyroid CancerSo-Hyun Cho, Su-Min Lee, Na-Young Lee, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Sensors (Basel, Switzerland)|November 14, 2014
Fast human detection for intelligent monitoring using surveillance visible sensorsByoung Chul Ko, Mira Jeong, JaeYeal Nam
Sensors (Basel, Switzerland)|April 30, 2021
Model Simplification of Deep Random Forest for Real-Time Applications of Various Sensor DataSangwon Kim, Byoung-Chul Ko, Jaeyeal Nam
Journal of Digital Imaging|December 24, 2011
Automatic medical image annotation and keyword-based image retrieval using relevance feedbackByoung Chul Ko, JiHyeon Lee, Jae-Yeal Nam
Sensors (Basel, Switzerland)|June 26, 2015
Classification of Potential Water Bodies Using Landsat 8 OLI and a Combination of Two Boosted Random Forest ClassifiersByoung Chul Ko, Hyeong Hun Kim, Jae Yeal Nam
Sensors (Basel, Switzerland)|September 30, 2020
Light-Weight Student LSTM for Real-Time Wildfire Smoke DetectionMira Jeong, MinJi Park, Jaeyeal Nam, et al.
Journal of Digital Imaging|April 14, 2011
X-ray image classification using random forests with local wavelet-based CS-local binary patternsByoung Chul Ko, Seong Hoon Kim, Jae-Yeal Nam
Micron (Oxford, England : 1993)|May 3, 2011
Automatic white blood cell segmentation using stepwise merging rules and gradient vector flow snakeByoung Chul Ko, Ja-Won Gim, Jae-Yeal Nam
Sensors (Basel, Switzerland)|December 11, 2022
Lightweight Semantic-Guided Neural Networks Based on Single Head Attention for Action RecognitionSeon-Bin Kim, Chanhyuk Jung, Byeong-Il Kim, et al.
Sensors (Basel, Switzerland)|April 13, 2023
High-Resolution Tactile-Sensation Diagnostic Imaging System for Thyroid CancerSo-Hyun Cho, Su-Min Lee, Na-Young Lee, et al.
Pageof 2