Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
— We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a si...
A robust character region identification approach is proposed here to deal with cover images using a differential top-hat transformation (DTT). The DTT is derived from morphologica...
In this work, we present an adaptive space carving method for scene reconstruction from a set of images obtained from low cost calibrated webcams. Our method uses a combination of...
Anselmo Antunes Montenegro, Paulo Cezar Pinto Carv...
Abstract— A design method is proposed for outputfeedback control of linear systems subject to state and control constraints, additive disturbances and measurement noise. First, n...