Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
While improving raw performance is of primary interest to most users of high-performance computers, energy consumption also is a critical concern. Some microprocessors allow volta...
As computing breaches petascale limits both in processor performance and storage capacity, the only way that current and future gains in performance can be achieved is by increasi...
Abstract. We consider the problem of counting the number of indistinguishable targets using a simple binary sensing model. Our setting includes an unknown number of point targets i...
— The fields of autonomics and system configuration share a common goal in decreasing the cost of ownership of large fabrics. In this paper we present a combined vision in whic...