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Jung Guk Park
ORCID
Publication Activity (10 Years)
Years Active: 2011-2019
Publications (10 Years): 2
Top Topics
Sparse Bayesian Learning
Linear Regression
Car Racing
Neural Network
Top Venues
ESPA
IEEE Trans. Neural Networks Learn. Syst.
Expert Syst. Appl.
Neural Networks
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Publications
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Jung Guk Park
,
Sungho Jo
Bayesian Weight Decay on Bounded Approximation for Deep Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
30 (9) (2019)
Jung Guk Park
,
Sungho Jo
Approximate Bayesian MLP regularization for regression in the presence of noise.
Neural Networks
83 (2016)
Jung Guk Park
,
Kyung-Joong Kim
Design of a visual perception model with edge-adaptive Gabor filter and support vector machine for traffic sign detection.
Expert Syst. Appl.
40 (9) (2013)
Kyung-Joong Kim
,
Jun-Ho Seo
,
Jung Guk Park
,
Joong Chae Na
Generalization of TORCS car racing controllers with artificial neural networks and linear regression analysis.
Neurocomputing
88 (2012)
Jung Guk Park
,
Kyung-Joong Kim
A method for feature extraction of traffic sign detection and the system for real world scene.
ESPA
(2012)
Kyung-Joong Kim
,
Jung Guk Park
,
Sung-Bae Cho
Correlation analysis and performance evaluation of distance measures for evolutionary neural networks.
J. Intell. Fuzzy Syst.
22 (2-3) (2011)