This paper considers multiple-input multiple-output (MIMO) interference channels, where the robust transceiver is designed under imperfect channel state information (CSI). Our objective is to minimize the sum mean-square-error (MSE) subject to per-transmitter power constraints. An iterative algorithm is proposed to…

Maximum entropy discrimination (MED) is a general framework for discriminative estimation based on maximum entropy and maximum margin principles, and can produce hard-margin support vector machines under some assumptions. Recently, the multiview version of MED multiview MED (MVMED) was proposed.…

A stretchy classification methodology adopting multivariate polynomials is proposed in this paper. Through minimization of an approximated p-norm of the parameter vector subject to classification error constraints, an approximated minimum norm solution in dual form is derived for under-determined systems.…