A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
We propose a method of judging fog density by using invehicle camera images and millimeter-wave (mm-W) radar data. This method determines fog density by evaluating both the visibi...
Defect density and defect size distributions (DDSDs) are key parameters used in IC yield loss predictions. Traditionally, memories and specialized test structures have been used t...
Jeffrey E. Nelson, Thomas Zanon, Rao Desineni, Jas...
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
This article presents the winning solution to the CATS time series prediction competition. The solution is based on classical optimal linear estimation theory. The proposed method...