We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
Abstract. This paper presents a learning method to select best geometric features for deformable brain registration. Best geometric features are selected for each brain location, a...
The fusion of multiple correlated observations of a multimedia system is a research problem arising in many multimedia applications. In this paper, we propose a novel framework fo...
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
We present a high-speed, clockless, serial link transceiver for inter-chip communication in asynchronous VLSI systems. Serial link transceivers achieve high offchip data rates by ...