Current approaches for answering queries with imprecise constraints require users to provide distance metrics and importance measures for attributes of interest. In this paper we ...
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...
Abstract. In most ICA algorithms, the separation performances are estimated through the evaluation of a contrast function , used in the update rule of elements of the unmixing matr...
— In this work, we study the problem of evaluating the performance limit of two communication problems that are closely related to each other- source coding with feed-forward and...