In this paper we proposed a visual speech recognition network based on Support Vector Machines. Each word of the dictionary is modeled by a set of temporal sequences of visemes. E...
Abstract. We have studied the spatiotemporal behaviour of threshold coupled chaotic neurons. We observe that the chaos is controlled by threshold activated coupling, and the system...
Manish Dev Shrimali, Guoguang He, Sudeshna Sinha, ...
Abstract. In this paper we introduce Spatio-TEmporal Parametric Stepping (STEPS) - a simple parametric mobility model which can cover a ectrum of human mobility patterns. STEPS mak...
— Many tasks require multiple sensing capabilities; in Wireless Sensor Networks (WSN), it is expensive to deploy a homogeneous network wherein every sensor has the same functiona...
Xiaoming Lu, Matt Spear, Karl N. Levitt, Shyhtsun ...
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...