In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
In many business scenarios, record matching is performed across different data sources with the aim of identifying common information shared among these sources. However such need...
Abstract. Comparison of images requires a distance metric that is sensitive to the spatial location of objects and features. Such sensitive distance measures can, however, be compu...
A linear (qd, q, t)-perfect hash family of size s in a vector space V of order qd over a field F of order q consists of a set S = {1, . . . , s} of linear functionals from V to F ...
We present a framework that retains ambiguity in feature matching to increase the performance of 3D object recognition systems. Whereas previous systems removed ambiguous correspo...