This paper addresses the state estimation problem of nonlinear systems. We formulate the problem using a minimum energy estimator (MEE) approach and propose an entropy penalized sc...
Sergio Daniel Pequito, A. Pedro Aguiar, Diogo A. G...
A wide range of computer vision applications such as distance field computation, shape from shading, and shape representation require an accurate solution of a particular Hamilton...
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
This paper proposes a high-performance scalable quality-of-service (QoS)-aware memory controller for the packet memory where packet data are stored in network routers. A major chal...
With the deployment of packetized wireless networks, the need for Quality of Service is becoming increasingly important. In order for QoS to be implemented and e ciently supported...