Showing results 7 to 11 of 11
Efficient sensor network planning based on approximate potential games Lee, Su-Jin; Park, Young-Jin; Choi, Han-Lim, INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, v.14, no.6, 2018-06 |
High-resolution reconstruction for no data gaps in narrow angle camera digital terrain models using Gaussian process-latent variable model Park, Young-Jin; Moon, SungHyun; Choi, Han-Lim, Lunar and Planetary Science Conference 2018, Lunar and Planetary Institute, NASA, 2018-03-20 |
Infossm: Interpretable unsupervised learning of nonparametric state-space model for multi-modal dynamics Park, Young-Jin; Choi, Han-Lim, AIAA Scitech Forum, 2019, American Institute of Aeronautics and Astronautics Inc, AIAA, 2019-01 |
Interpretable unsupervised learning of bayesian nonparametric dynamic state-space model = 베이지안 비모수적 상태공간 모델의 설명가능 비지도 학습 기법link Park, Young-Jin; Choi, Han-Lim; et al, 한국과학기술원, 2019 |
Online Gaussian Process State-space Model: Learning and Planning for Partially Observable Dynamical Systems Park, Soon-Seo; Park, Young-Jin; Min, Youngjae; Choi, Han-Lim, INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.20, no.2, pp.601 - 617, 2022-02 |
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