In studying image quality and image preference it is necessary to collect psychophysical data. A variety of methods are used to arrive at interval scale values which indicate the ...
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
— In fast-varying faded channels the transmission can be organized into frames where the channel estimation is mainly training-based. For fast-varying fading channels the trainin...
The routing and scheduling of vehicles and their crews is an area of increasing importance. In this paper, we describe a large scale vehicle scheduling and routing problem which i...
This paper presents an algorithm for an 1-regularized Kalman filter. Given observations of a discrete-time linear dynamical system with sparse errors in the state evolution, we e...
Muhammad Salman Asif, Adam Charles, Justin K. Romb...