This paper describes a corpus of conversations recorded using an extension of the DiapixUK task: the Diapix Foreign Language corpus (DIAPIX-FL) . English and Spanish native talkers were recorded speaking both English and Spanish. The bidirectionality of the corpus makes it possible to separate language (English or Spanish) from speaking in a first language (L1) or second language (L2). An acous...

Tables show the results of the classifiers for the SFM and the FFDM datasets using a 10-fold crossvalidation and the complete dataset, with 20 features selected by the inter/intra cluster criteria and with 20 features of the PCA. Noelia Vállez1,2, Gloria Bueno1, Oscar Déniz-Suárez1, José A. Seoane2, Julián Dorado2, and Alejandro Pazos2 1 VISILAB, E.T.S.I.I, Universidad de Castilla-La Mancha, Sp...

The paper presents the problem of choosing the representatives in an assembly when the whole electoral region is subdivided into electoral districts. Because of the two dimensions, geographical (districts) and political (parties), the problem is called bi-apportionment. Often the allocation of seats to districts is pre-determined and furthermore distorted —meaning that the ratios of the number ...

Hubs are critical elements of transportation networks. Location of hubs and allocation of demands to them are of high importance in the network design. The most important purpose of these models is to minimize the cost, but path reliability is also another important factor which can influence the location of hubs. In this paper, we propose a P-center hub location model with full interconnection...

Laser forming is a modern process which is mainly used for forming metals. Different Lasers are used in this regard that includes Nd: YAG and CO2. In this study, forming bi-layer sheets of Aluminum/Ceramic by Laser was investigated. Furthermore, effect of Uniform and Gaussian heat flux distribution in different power, velocity, and beam diameters on bending angle was studied. FEM simulation ind...

There is a strong correlation between relative mammographic breast density and the risk of developing breast cancer. As such, accurately modelling the percentage of a mammogram that is dense is a pivotal step in density based risk classification. In this work, a novel method based on manifold learning is used to segment high-risk mammograms into density regions. As such, finer details are prese...

Mass abnormality segmentation is a vital step for the medical diagnostic process and is attracting more and more the interest of many research groups. Currently, most of the works achieved in this area have used the Gray Level Co-occurrence Matrix (GLCM) as texture features with a region-based approach. These features come in previous phase for segmentation stage or are using as inputs to class...

Elliptic curves find numerous applications. This paper describes a simple strategy to speed up their arithmetic in right-to-left methods. In certain settings, this leads to a non-negligible performance increase compared to the left-to-right counterparts.