This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
— The parabigeminal nucleus (PBN) is known to estimate the retinal position error (RPE) of an intended target. Recently it has been discovered that PBN activity continues to enco...
This paper describes a program called Pret that automates system identification, the process of finding a dynamical model of a black-box system. Pret performs both structural iden...
—A high performance adaptive robust control (ARC) algorithm is developed for a class of nonlinear system with unknown input backlash, parametric uncertainties and uncertain nonli...
One of the key requirements of augmented reality systems is a robust real-time camera pose estimation. In this paper we present a robust approach, which does neither depend on ofï...