Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a f...
We demonstrate how the framework that is used for creating efficient number-theoretic ID and signature schemes can be transferred into the setting of lattices. This results in cons...
—In this paper, we propose a low complexity linear multiuser beamforming system for the multiple-input multipleoutput (MIMO) broadcast channel. We consider the specific case of ...
Chan-Byoung Chae, David Mazzarese, Nihar Jindal, R...
Abstract—In multi-user multiple-input multiple-output (MUMIMO) systems, channel state information at the transmitter (CSIT) allows for multi-user spatial multiplexing and thus in...
Florian Kaltenberger, David Gesbert, Raymond Knopp...
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...