 *Faculty of Electrical Engineering and Communications, Kolejni 2906/4, 612 00 Brno, Czech Republic, Phone:+420-5-41143649, Fax:+420-5-41149512, Mail: [email protected] ** Faculty of Electrical Engineering and Communications, Kolejni 2906/4, 612 00 Brno, Czech Republic, Mail: [email protected] ***1Academy of Sciences of the Czech Republic,Institute of Scientific Instruments, K...

Estimation of runoff water quality parameters is required to determine appropriate water quality management options. Various models are used to estimate runoff water quality parameters. However, most models provide event-based estimates of water quality parameters for specific sites. The work presented in this paper describes the development of a model that continuously simulates the accumulati...

This paper describes Uppsala University’s submissions to the Quality Estimation (QE) shared task at WMT 2012. We present a QE system based on Support Vector Machine regression, using a number of explicitly defined features extracted from the Machine Translation input, output and models in combination with tree kernels over constituency and dependency parse trees for the input and output sentenc...

Optical music recognition (OMR) is the recognition of images of musical scores. Recent research has suggested aligning the results of OMR from multiple scores of the same work (multi-score OMR, MS-OMR) to improve accuracy. As a simpler alternative, we have developed features which predict the quality of a given score, allowing us to select the highest-quality score to use for OMR. Furthermore, ...

Due to the ever growing applicability of machine translation, estimating the quality of translations automatically has become a necessary task in various scenarios, for example, when deciding whether a machine translation is good enough for human post-editing. This demonstration presents the outcome of a collaborative project between the University of Sheffield and ENLASO, funded by EAMT, the E...

This paper describes an automated classifier for the identification of good wood and knotty wood from computer tomography (CT) images of logs. Such a system is intended to allow better assessment of saw logs before being cut into timber. We describe a new empirical model for the growth of Sitka Spruce (Picea Stichensis (Bong, Carr)) whose operation is adapted to Irish conditions. The use of Hop...

In this paper we describe a stochastic method of wavelet estimation tying well logs to seismic data. It has the advantage over traditional methods that it is statistically robust, that is, it is insensitive to outliers in the reflection coefficients and in the seismic data. This is achieved by generating random perturbations to an initial wavelet and comparing the resulting synthetics to the se...

An unsupervised segmentation algorithm based on a multiresolution method is presented. This method uses variational functions as a segmentation criterion. The algorithm has been applied to multispectral images of fruits as a quality assessment application. In addition, due to the unsupervised nature of the procedure, it can be applied to real images in order to test the quality of these results.

Model quality estimation is an essential component of protein structure prediction, since ultimately the accuracy of a model determines its usefulness for specific applications. Usually, in the course of protein structure prediction a set of alternative models is produced, from which subsequently the most accurate model has to be selected. The QMEAN server provides access to two scoring functio...