no code implementations • 16 Mar 2024 • Yuansan Liu, Sudanthi Wijewickrema, Christofer Bester, Stephen O'Leary, James Bailey
We show that the model performs with high reliability and efficiency on the online CPD problem ($\sim$98\% and $\sim$97\% area under precision-recall curve respectively).
1 code implementation • 18 Dec 2023 • Yuansan Liu, Sudanthi Wijewickrema, Ang Li, Christofer Bester, Stephen O'Leary, James Bailey
Experimental results demonstrate that our model can outperform existing state-of-the-art models in 5 out of 6 datasets, specifically on those with data containing both global and local properties.
1 code implementation • 23 Sep 2020 • Jiabo He, Sarah Erfani, Sudanthi Wijewickrema, Stephen O'Leary, Kotagiri Ramamohanarao
Semantic segmentation is one of the key problems in the field of computer vision, as it enables computer image understanding.
1 code implementation • 23 Sep 2020 • Jiabo He, Sarah Erfani, Sudanthi Wijewickrema, Stephen O'Leary, Kotagiri Ramamohanarao
Time series with large discontinuities are common in many scenarios.
Databases
no code implementations • 30 Jun 2017 • Xingjun Ma, Sudanthi Wijewickrema, Yun Zhou, Shuo Zhou, Stephen O'Leary, James Bailey
Experimental results in a temporal bone surgery simulation show that the proposed method is able to extract highly effective feedback at a high level of efficiency.
no code implementations • 4 Mar 2017 • Xingjun Ma, Sudanthi Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen O'Leary, James Bailey
It is the aim of this paper to develop an efficient and effective feedback generation method for the provision of real-time feedback in SBT.