Showing results 8 to 14 of 14
Hierarchical Anomaly Detection Using a Multioutput Gaussian Process Cho, Woojin; Kim, Youngrae; Park, Jinkyoo, IEEE Transactions on Automation Science and Engineering, v.17, no.1, pp.261 - 272, 2020-01 |
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 |
Opportunistic sampling-based active visual SLAM for underwater inspection Chaves, Stephen M.; Kim, Ayoung; Galceran, Enric; Eustice, Ryan M., AUTONOMOUS ROBOTS, v.40, no.7, pp.1245 - 1265, 2016-10 |
Path Loss Model Based on Machine Learning Using Multi-Dimensional Gaussian Process Regression Jang, Ki Joung; Park, Sejun; Kim, Junseok; Yoon, Youngkeun; Kim, Chung-Sup; Chong, Young-Jun; Hwang, Ganguk, IEEE ACCESS, v.10, pp.115061 - 115073, 2022 |
Prediction Based Efficient Online Bandwidth Allocation Method Kim, Jeongseop; Hwang, Ganguk, IEEE COMMUNICATIONS LETTERS, v.23, no.12, pp.2330 - 2334, 2019-12 |
Probabilistic modeling of ship powering performance using full-scale operational data Yoo, Byunghyun; Kim, Jinwhan, APPLIED OCEAN RESEARCH, v.82, pp.1 - 9, 2019-01 |
Quantitative displacement measurement of a nanotube cantilever with nanometer accuracy using epifluorescence microscopy Park, Hyojun; Kwon, Soongeun; Kim, Soohyun, REVIEW OF SCIENTIFIC INSTRUMENTS, v.80, no.5, 2009 |
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