— The increasing infectious disease outbreaks has led to a need for new research to better understand the disease’s origins, epidemiological features and pathogenicity caused b...
Abstract. Much of the data consumed today is dynamic, typically gathered from distributed sources including sensors, and used in real-time monitoring and decision making applicatio...
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Standard density estimation approaches suffer from visible bias due to low-pass filtering of the lighting function. Therefore, most photon density estimation methods have been us...
In this paper we develop a computational model of visual masking based on psychophysical data. The model predicts how the presence of one visual pattern affects the detectability...
James A. Ferwerda, Peter Shirley, Sumanta N. Patta...