The paper studies the problem of analyzing user comments and reviews of products sold online. Analyzing such reviews and producing a summary of them is very useful to both potential customers and product manufacturers. By analyzing reviews, we mean to extract features of products (also called opinion features) that have been commented by reviewers and determine whether the opinions are positive...

The Karhunen-Loeve (KL) transform is an optimal method for approximating a set of vectors or images by a low dimensional subspace. The method provides the optimal partial KL basis, which minimizes the MSE between the given set of vectors and their projections on this basis. In computer vision it is used for a variety of tasks such as object recognition, motion estimation, visual learning and ob...

Centerline extraction is important in a variety of visualization applications including shape analysis, geometry processing, and virtual endoscopy. Centerlines allow accurate measurements of length along winding tubular structures, assist automatic virtual navigation, and provide a path-planning system to control the movement and orientation of a virtual camera. However, efficiently computing c...

The volatile compositions of Charmat and traditional Chilean sparkling wines were studied for the first time. For this purpose, EG-Silicone and PDMS polymeric phases were compared and, afterwards, the most adequate was selected. The best extraction method turned out to be a sequential extraction in the headspace and by immersion using two PDMS twisters. A total of 130 compounds were determined....

This paper shows the benefit of using data mining methods for Biological Natural Language Processing. A method for discovering linguistic patterns based on a recursive sequential pattern mining is proposed. It does not require a sentence parsing nor other resource except a training data set. It produces understandable results and we show its interest in the extraction of relations between named...

A classification system typically includes both a feature extractor and a classifier. The two components can be trained either sequentially or simultaneously. The former option has an implementation advantage since the extractor is trained independently of the classifier, but it is hindered by the suboptimality of feature selection. Simultaneous training has the advantage of minimizing classifi...

Two-stage treatments of sugarcane bagasse with steam and alkaline peroxide were performed and the hemicelluloses extracted were characterized by chemical methods, SEC-MALLS, FT-IR and 13C NMR. The hemicellulose from steam pretreatment was found to contain galacto-arabinoxylans while alkaline peroxide extraction yielded predominately linear arabinoxylans.The present studyshowed a promising seque...

Methods for determining the letters of our genetic code, known as DNA sequencing, currently depend on clever use of electrophoresis to generate data sets indicative of the underlying sequence. Typically the subsequent off-line data processing is carried out less intelligently using a combination of heuristic methods with little mathematical rigour. In this paper, we present a new robust model w...