With the rise in popularity Soda Chargers of different human-centred applications using 3D reconstruction data, the problem of generating photo-realistic models has become an important task.In a multiview acquisition system, particularly for large indoor scenes, the acquisition conditions will differ along the environment, causing colour difference
Abstract Background Although much has been written on developing better procedures for variable selection, there is little research on how it is practiced in actual studies.This review surveys the variable selection methods reported in two high-ranking Chinese epidemiology journals.Methods Articles published in 2004, 2006, and 2008 in the Chinese J
Michael E Schatman,1,2 Matthew G Fortino1,3,4 1Department of Diagnostic Sciences, Tufts University School of Dental Medicine, Boston, MA, USA; pca mcc 2Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA; 3Department of Clinical Psychology, William James College, Newton, MA, USA; 4Department of A
Abstract This work presents a machine learning based method for bi-fidelity modelling.The method, a Knowledge Based Neural Network (KBaNN), performs a local, additive correction to the outputs of a coarse computational model and can be used to emulate either experimental data or the output of a more accurate, but expensive, computational model.An a