Heterogeneous multi-metric learning for multi-sensor fusion 16. SECURITY CLASSIFICATION OF: In this paper, we propose a multiple-metric learning algorithm to learn jointly a set of optimal homogenous/heterogeneous metrics in order to fuse the data collected from multiple sensors for classification. The learned

-: and transonic flow regime. High angle of attack aerodynamic investigations had not been done before at the VKI, so a new wind tunnel model support system, six component force balance ana water tunnel contraction and test section were desig-ned and constructed to enable the present investigation to be performed

problems Scheduling problems concern the assignment of jobs to one or various machines over time. Input data for these problems are processing times but also often additional setup times, release dates and due dates of jobs, measures for the jobs' importance and precedence constraints among jobs

Abstract: Online learning initia-tives over the past decade have become increasingly comprehen-sive in their selection of courses and sophisticated in their presen-tation, culminating in the recent announcement of a number of consortium and startup activities that promise to make a university

for attracting and retaining students. We describe an innovative course that leverages students ’ interest in computer security issues to attract and retain technically-oriented students. Our initial vision was to offer a course covering computer viruses—a subject that even a novice computer user has some

In presenting this thesis in partial fulfilment of the requirements for a Postgraduate degree

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Corporate Governance determinants of voluntary disclosure and its effects on information asymmetry: an analysis for Iberian Peninsula listed companies.

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