A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
This paper presents a method for designing bundles in a combinatorial auction protocol that is robust against false-name bids. Internet auctions have become an integral part of El...
Hyperspectral unmixing is a process of extracting hidden spectral signatures (or endmembers) and the corresponding proportions (or abundances) of a scene, from its hyperspectral o...
Wireless ad hoc routing has been extensively studied and many clever schemes have been proposed over the last several years. One class of ad hoc routing is geographic routing wher...
Estimating multivariate location and scatter with both affine equivariance and positive breakdown has always been difficult. A well-known estimator which satisfies both properties...
Christophe Croux, Gentiane Haesbroeck, Peter J. Ro...