We give the first representation-independent hardness results for PAC learning intersections of halfspaces, a central concept class in computational learning theory. Our hardness...
In wavelet deblurring of noisy images the finest resolution levels are key parameters which require fine tuning. In this paper we present a blockwise thresholding rule in the Fo...
— The tristability that a class of two-dimensional neuron models may exhibit is investigated in this paper. One proposition and three corollaries on saddles, which play an import...
Service Oriented Architectures are emerging as the recommended paradigm for developing dispersed escience environments. In this paper we analyze the characteristics and requiremen...
Abstract— Providing Quality-of-Service (QoS) in networks-onchip (NoCs) will be an important consideration for the complex multiprocessor chips of the future. In this paper, we di...