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--Presence, broadly defined as an event publishnotification infrastructure for converged applications, has emerged as a key mechanism for collecting and disseminating conte...
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
The network protocols we use today have been introduced decades ago. Since then the whole Internet came to existence and with it a single protocol stack: TCP/IP. What was a good s...
Dennis Schwerdel, Abbas Siddiqui, Bernd Reuther, P...
In this work, we present a technique for robust estimation, which by explicitly incorporating the inherent uncertainty of the estimation procedure, results in a more efficient rob...