A space-filling curve is a linear traversal of a discrete finite multidimensional space. In order for this traversal to be useful in many applications, the curve should preserve "locality". We quantify "locality" and bound the locality of multidimensional space-filling curves. Classic Hilbert space-filling curves come close to achieving optimal locality.

Bovine tuberculosis (bTB) is a chronic infectious disease that affects both domestic animals and wildlife. Veterinary epidemiology studies evaluate bTB using geographic information systems (GIS), which can characterise the spatial and temporal distribution of diseases and identify the geographic areas and animal populations at risk of contracting a disease. The present study used space‑time per...

This paper presents a new diagnosis method of induction motor faults based on time–frequency classification of the current waveforms. This method is based on a representation space, a selection criterion, and a decision criterion. In order to define the representation space, an optimized time–frequency representation (TFR) is designed from the time–frequency ambiguity plane. The selection crite...

In this paper, we address the problem of efficient k-NN classification. In particular, in the context of Mahalanobis metric learning. Mahalanobis metric learning recently demonstrated competitive results for a variety of tasks. However, such approaches have two main drawbacks. First, learning metrics requires often to solve complex and thus computationally very expensive optimization problems. ...

We propose a statistical non-parametric classification of brain tissues from an MR image based on the voxel intensities and on the relative anatomical location of the different tissues. Classically, the overlap of the tissue probability distribution functions for voxel intensities can be reduced by using multi-component (T1w,T2w,Pd,...) MR images, but at a much higher cost for image acquisition...

Genetic distances between seven oil sunflower inbred lines expressed in the variability of five morphological traits were analysed in terms of their effect on the specific combining ability (SCA) effects in these lines for yield component traits. The multivariate analysis of variance (MANOVA) and other related multidimensional methods were used to recognize the differences between genotypes wit...