no code implementations • 23 Feb 2022 • Jeewon Heo, Youngjoo Kim, Jos B. T. M. Roerdink
SDR has been applied to various real-world datasets, such as human activity sensory data and astronomical datasets.
no code implementations • 1 Oct 2021 • Youngjoo Kim, Alexandru C. Telea, Scott C. Trager, Jos B. T. M. Roerdink
The sharpening step aids this method to preserve cluster separation in the resulting 2D projection.
1 code implementation • 1 Jul 2021 • Youngjoo Kim
This paper proposes a novel approach to map-based navigation system for unmanned aircraft.
1 code implementation • 3 Mar 2021 • Youngjoo Kim, Peng Wang, Lyudmila Mihaylova
With the real traffic speed data measured in the city of Santander, we demonstrate the proposed SRNN outperforms the image-based approaches using the capsule network (CapsNet) by 14. 1% and the convolutional neural network (CNN) by 5. 87%, respectively, in terms of root mean squared error (RMSE).
1 code implementation • 18 Feb 2019 • Youngjoo Kim, Peng Wang, Lyudmila Mihaylova
We use a graph of a vehicular road network with recurrent neural networks (RNNs) to infer the interaction between adjacent road segments as well as the temporal dynamics.
1 code implementation • 23 Jul 2018 • Youngjoo Kim, Peng Wang, Yifei Zhu, Lyudmila Mihaylova
Traffic flow data from induction loop sensors are essentially a time series, which is also spatially related to traffic in different road segments.