This paper outlines a technique for treating input texture images as probability density estimators from which new textures, with similar appearance and structural properties, can...
We present an alternate approach to the problem of structure from motion (SfM) with noisy point measurements. With no information available about the joint density of three-dimens...
We investigate why discretization is effective in naive-Bayes learning. We prove a theorem that identifies particular conditions under which discretization will result in naiveBay...
This paper is concerned with the e cient reconstruction of illumination from area luminaires. We outline a 2-pass scheme a lightpass, tracing ray bundles from the luminaires follow...
Spatialization is a special kind of visualization that projects multidimensional data into low-dimensional representational spaces by making use of spatial metaphors. Spatializati...
Sofia Kontaxaki, Eleni Tomai, Margarita Kokla, Mar...