The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
In this paper the blind deconvolution problem is formulated using the variational framework. With its use approximations of the involved probability distributions are developed re...
Javier Mateos, Rafael Molina, Aggelos K. Katsaggel...
This paper presents a method for creating 3D models of real objects using video see-through augmented reality. We use a tracked probe to sample the objects' geometries and vi...
Integrated process support is highly desirable in environments where data related to a particular business process are scattered over distributed, heterogeneous information system...
Manfred Reichert, Sarita Bassil, Ralph Bobrik, Tho...
Unknown words are inevitable at any step of analysis in natural language processing. Wc propose a method to extract words from a corl)us and estimate the probability that each wor...