no code implementations • 11 Apr 2023 • Guangyong Wei, Zhikui Duan, Shiren Li, Guangguang Yang, Xinmei Yu, Junhua Li
With regard to the HKUST and WSJ eval92 datasets, CER and WER will be improved by 0. 3% and 0. 2%, respectively, when parameters in Sim-T are 40% less than the baseline Transformer.
no code implementations • 22 Nov 2020 • Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li
Deep learning has achieved excellent performance in a wide range of domains, especially in speech recognition and computer vision.
no code implementations • 30 Jul 2019 • Tian Wang, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li
Methods: To overcome the aforementioned drawbacks, we proposed a multi-kernel capsule network (MKCapsnet), which was developed by considering the brain anatomical structure.
no code implementations • 23 Oct 2014 • Junhua Li, Chao Li, Andrzej Cichocki
Unlike vector-based methods that destroy data structure, Canonical Polyadic Decomposition (CPD) aims to process physiological signals in the form of multi-way array, which considers relationships between dimensions and preserves structure information contained by the physiological signal.
no code implementations • 3 Oct 2014 • Junhua Li, Zbigniew Struzik, Liqing Zhang, Andrzej Cichocki
An alternative pathway for the human brain to communicate with the outside world is by means of a brain computer interface (BCI).