Abstract. Gaussian process prior systems generally consist of noisy measurements of samples of the putatively Gaussian process of interest, where the samples serve to constrain the...
Information integration applications, such as mediators or mashups, that require access to information resources currently rely on users manually discovering and integrating them ...
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
A physical modeling approach is used to investigate playing effects in woodwind instruments. This builds upon prior work concerning both empirical studies of the acoustics of the ...
We establish the multipath model which encompasses the target and its multipath “ghosts” in urban and through-thewall synthetic aperture radar (SAR). The focused downrange and...