There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
We study the problem of identifying prices to support a given allocation of items to bidders in an envy-free way. A bidder will envy another bidder if she would prefer to obtain th...
As reconfigurable computing hardware and in particular FPGA-based systems-on-chip comprise an increasing number of processor and accelerator cores, supporting sharing and synchroni...
Martin Labrecque, Mark Jeffrey, J. Gregory Steffan
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Abstract. As the amount of information and communication increases dramatically new working environments must provide efficient mechanisms to maximize the benefits of these develop...
Albrecht Schmidt, Alexander Specker, Gerhard Parts...