—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective...
Abstract-- We consider code division multiple access communication over a binary input additive white Gaussian noise channel using random spreading. For a general class of symmetri...
We explore the capacity and generalized degrees of freedom of the 2-user Gaussian X channel, i.e. a generalization of the 2-user interference channel where there is an independent...
We investigate the effects of user cooperation on the secrecy of broadcast channels by considering a cooperative relay broadcast channel. We show that user cooperation can increase...