Abstract. We describe algorithms for finding the regression of t, a sequence of values, to the closest sequence s by mean squared error, so that s is always increasing (isotonicit...
Abstract. This paper derives two new information theoretic linear regression criteria based on the minimum message length principle. Both criteria are invariant to full rank affine...
Abstract. We propose a general method and novel algorithmic techniques to facilitate the integration of independently developed ontologies using mappings. Our method and techniques...
Abstract. This article describes a novel junction descriptor that encodes junctions’ semantic information in terms incoming lines’ orientations, both in 2D and 3D. A Kalman fi...
Abstract—We investigate nonlinear pre-equalization techniques for the downlink of multi-user systems from a transmitter equipped with multiple antennas to non-cooperative single ...