Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...
Whilst mobile work is increasingly prevalent, there is little detailed study of this phenomenon in the specific context of a train. Thus, the current study focuses on how mobile w...
Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
This paper describes a successful integration of the IEEE micromouse competition training programme with regular undergraduate courses at Zhejiang University City College (ZUCC), H...
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...