Comparison of some Reduced Representation Approximations

In the field of numerical approximation, specialists considering highly complex problems have recently proposed various ways to simplify their underlying problems. In this field, depending on the problem they were tackling and the community that are at work, different approaches have been developed with some success and have even gained some maturity, the applications can now be applied to information analysis or for numerical simulation of PDE's. At this point, a crossed analysis and effort for understanding the similarities and the differences between these approaches that found their starting points in different backgrounds is of interest. It is the purpose of this paper to contribute to this effort by comparing some constructive reduced representations of complex functions. We present here in full details the Adaptive Cross Approximation (ACA) and the Empirical Interpolation Method (EIM) together with other approaches that enter in the same category

Análisis colorimétrico de imágenes como factor de evaluación de la calidad de rebanadas de jamón de cerdo durante almacenamiento

10 páginasEn este estudio se analizaron los cambios de color de rodajas de jamón de cerdo almacenadas a dos temperaturas (4 y 8°C) con el fin de comparar dos metodologías de captura de imagen para la estimación de los cambios de color en el tiempo en los espacios de color CIELAB a través de un DigiEye®, y estereoscopio con análisis digital de imágenes. Los cambios de espacio de color se analizaron utilizando un sistema de visión por computador para el análisis de segmentación de las imágenes. Se determinó que a partir del noveno día, los cambios de color representativos podrían ser percibidos en las rebanadas de jamón utilizando DigiEye®. Por último, se lograron obtener ecuaciones de predicción de color con R2 > 0.85 como una herramienta para el monitoreo electrónico para la evaluación de la calidad de las rodajas de jamón de cerdo durante el almacenamiento.This study analysed the colour changes of stored pork ham slices at two temperatures (4 and 8°C) to compare two imaging methodologies for estimating colour changes over time in CIELAB colour spaces through a DigiEye® and stereoscope with digital image analysis. Colour space changes were analysed using a computer vision system for image segmentation analysis. It was determined that from the ninth day, changes could be perceived in the representative colour of ham slices using DigiEye®. Finally, colour prediction equations with R2 > 0.85 were determined as a tool for electronic monitoring to assessing the quality of pork ham slices during storage

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press