Gyeong-Moon Park

According to our database, Gyeong-Moon Park authored at least 11 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2020

Continual Unsupervised Domain Adaptation with Adversarial Learning.

Joonhyuk Kim, Sahng-Min Yoo, Gyeong-Moon Park, Jong-Hwan Kim

CoRR, 2020

Non-Probabilistic Cosine Similarity Loss for Few-Shot Image Classification.

Joonhyuk Kim, Inug Yoon, Gyeong-Moon Park, Jong-Hwan Kim

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Developmental Resonance Network.

Gyeong-Moon Park, Jae-Woo Choi, Jong-Hwan Kim

IEEE Trans. Neural Networks Learn. Syst., 2019

Multi-channel Classification Resonance Network^*.

Joonhyuk Kim, Gyeong-Moon Park, Jong-Hwan Kim

Proceedings of the 7th International Conference on Robot Intelligence Technology and Applications, 2019

2018

Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots.

Gyeong-Moon Park, Yong-Ho Yoo, Deok-Hwa Kim, Jong-Hwan Kim

IEEE Trans. Cybern., 2018

2017

Task Intelligence of Robots: Neural Model-Based Mechanism of Thought and Online Motion Planning.

In-Bae Jeong, Woo-Ri Ko, Gyeong-Moon Park, Deok-Hwa Kim, Yong-Ho Yoo, Jong-Hwan Kim

IEEE Trans. Emerg. Top. Comput. Intell., 2017

Realization of task intelligence for service robots in an unstructured environment.

Deok-Hwa Kim, Gyeong-Moon Park, Yong-Ho Yoo, Si-Jung Ryu, In-Bae Jeong, Jong-Hwan Kim

Annu. Rev. Control., 2017

Context preference-based deep adaptive resonance theory: Integrating user preferences into episodic memory encoding and retrieval.

Dick Sigmund, Gyeong-Moon Park, Jong-Hwan Kim

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Biologically-inspired episodic memory model considering the context information.

Gyeong-Moon Park, Sanghyun Cho, Jong-Hwan Kim

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Deep Adaptive Resonance Theory for learning biologically inspired episodic memory.

Gyeong-Moon Park, Jong-Hwan Kim

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014

Falling Prevention System from External Disturbances for Humanoid Robots.

Gyeong-Moon Park, Seung-Hwan Baek, Jong-Hwan Kim

Proceedings of the Robot Intelligence Technology and Applications 3, 2014