We present a simple knowledge-based WSD method that uses word and sense embeddings to compute the similarity between the gloss of a sense and the context of the word. Our method is inspired by the Lesk algorithm as it exploits both the context of the words and the definitions of the senses. It only requires large unlabeled corpora and a sense inventory such as WordNet, and therefore does not re...

The aim of this study was to evaluate the colorimetric properties of Pinus taeda and Schizolobium parahybum woods treated by in situ polymerization. The wood samples were impregnated in a vacuum/ pressure system and polymerized in an oven at 90°C for 10h, using benzoyl peroxide at 1,5wt% as the catalyst. The treatments were characterized using attenuated total reflectance infrared (ATRIR) spect...

The role of pigment particle size, pigment volume concentration and dispersion in gloss loss of paint lms on weathered surfaces is unclear. Because reproducibile and cost e ective data is di cult to obtain, an approach based on computer simulation and modelling is a promising supplementary tool. We describe the simulation of a painted surface consisting of pigment particles of known size, pigme...

As we aim at alleviating the curse of high-dimensionality, subspace learning is becoming more popular. Existing approaches use either information about global or local structure of the data, and few studies simultaneously focus on global and local structures as the both of them contain important information. In this paper, we propose a global and local structure preserving sparse subspace learn...

Over the past 20 years, there have been many studies looking at how highlight disparity affects an observer's perception of glossiness. Most of these studies have used relatively smooth surfaces, and simple lighting models. We are using surfaces which are rougher and more naturalistic than those used before, using a rendering method which takes into account physically accurate properties of lig...