In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
This paper presents a novel technique, called input space adaptive software synthesis, for the energy and performance optimization of embedded software. The proposed technique is ...
Tiny embedded systems have not been an ideal outfit for high performance computing due to their constrained resources. Limitations in processing power, battery life, communication ...
Embedded wireless networks have largely focused on openloop sensing and monitoring. To address actuation in closedloop wireless control systems there is a strong need to re-think ...