Abstract. Aspects have emerged as a powerful tool in the design and development of systems, allowing for the encapsulation of program transformations. The dynamic semantics of aspe...
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
We propose audio networking: using ubiquitously available sound hardware (i.e. speakers, sound-cards and microphones) for lowbandwidth, wireless networking. A variety of location- ...
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...