• 3824 Citations
  • 28 h-Index
1993 …2019
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Fingerprint Dive into the research topics where Euntai Kim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Classifiers Engineering & Materials Science
Support vector machines Engineering & Materials Science
Neural networks Engineering & Materials Science
Sensors Engineering & Materials Science
Fusion reactions Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Fuzzy Observer Mathematics
Experiments Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1993 2019

A new support vector machine with an optimal additive kernel

Baek, J. & Kim, E., 2019 Feb 15, In : Neurocomputing. 329, p. 279-299 21 p.

Research output: Contribution to journalArticle

Support vector machines
Convex optimization
Support Vector Machine
Datasets
Experiments

Indoor Global Localization Using Depth-Guided Photometric Edge Descriptor for Mobile Robot Navigation

Cheong, H., Kim, E. & Park, S. K., 2019 Nov 15, In : IEEE Sensors Journal. 19, 22, p. 10837-10847 11 p., 8782605.

Research output: Contribution to journalArticle

landmarks
navigation
robots
Mobile robots
Navigation
4 Citations (Scopus)

Multiple object tracking via feature pyramid siamese networks

Lee, S. & Kim, E., 2019 Jan 1, In : IEEE Access. 7, p. 8181-8194 14 p., 8587153.

Research output: Contribution to journalArticle

Deep neural networks

Object Classification of Laser Scanner by Using Recurrent Neural Network

Cho, M., An, J., Jang, W. & Kim, E., 2019 Feb 22, Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc., p. 1440-1444 5 p. 8650478. (IEEE Region 10 Annual International Conference, Proceedings/TENCON; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Advanced driver assistance systems
Lasers
Motion planning
Linguistics

Odometry Estimation via CNN using Sparse LiDAR Data

Cho, H. M., Jo, H. G., Lee, S. & Kim, E., 2019 Jun, 2019 16th International Conference on Ubiquitous Robots, UR 2019. Institute of Electrical and Electronics Engineers Inc., p. 124-127 4 p. 8768571. (2019 16th International Conference on Ubiquitous Robots, UR 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lidar
Tensors
Global positioning system
Wheels
Neural networks