no code implementations • 18 Oct 2022 • Md Mahmudur Rahman, Mahta Mousavi, Peri Tarr, Mohammad Arif Ul Alam
Domain adaptation for sensor-based activity learning is of utmost importance in remote health monitoring research.
no code implementations • 9 Feb 2022 • Mahta Mousavi, Eric Lybrand, Shuangquan Feng, Shuai Tang, Rayan Saab, Virginia de Sa
In this work, we propose a novel algorithm called Spectrally Adaptive Common Spatial Patterns (SACSP) that improves CSP by learning a temporal/spectral filter for each spatial filter so that the spatial filters are concentrated on the most relevant temporal frequencies for each user.
no code implementations • 27 May 2019 • Shuai Tang, Mahta Mousavi, Virginia R. de Sa
Word embeddings learnt from large corpora have been adopted in various applications in natural language processing and served as the general input representations to learning systems.