A Semivariogram is one of the significant functions to indicate spatial correlation in observations measured at sample locations. It is commonly represented as a graph that shows the difference in measure with distance between all pairs of sampled locations. Such a graph is helpful to build a mathematical model that describes the variability of the measure with location. Modeling of relationshi...

The reliable detection of clusters in datasets of non-trivial dimensionality is notoriously difficult. Clustering algorithms are generally driven by some distance function (usually Euclidean) defined over pairs of examples, which implicitly treats distances within and between clusters alike. In this paper, a more effective distance measure is proposed, derived from an a priori estimated Gaussia...

We present an approach for learning an anisotropic RBF kernel in a game theoretical setting where the value of the game is the degree of separation between positive and negative training examples. The method extends a previously proposed method (KOMD) to perform feature re-weighting and distance metric learning in a kernel-based classification setting. Experiments on several benchmark datasets ...

Odour emission of livestock buildings is major burden for ambient residential areas. Using a dispersion model to calculate ambient odour concentrations, the separation distance between livestock buildings and residential areas was defined by a pre-selected odour threshold and an exceeding probability. The dynamic Austrian odour dispersion model (AODM) was used to calculate the separation distan...

While the phrase “six degrees of separation” is widely used to characterize a variety of humanderived networks, in this study we show that in patent citation network, related patents are connected with an average distance of 6, whereas an average distance for a random pair of nodes in the graph is approximately 15. We use this information to improve the recall level in prior-art retrieval in th...

By setting apart the two functions of a support vector machine: separation of points by a nonlinear surface in the original space of patterns, and maximizing the distance between separating planes in a higher dimensional space, we are able to deene indeenite, possibly discontinuous, kernels, not necessarily inner product ones, that generate highly nonlin-ear separating surfaces. Maximizing the ...

Frequency intersystem interference is a phenomenon caused by coexistence of multiple wireless systems in same or adjacent areas. Consequently, frequency sharing studies play a very important rule in order to use limited spectrum resources efficiently. Because an International Mobile Telecommunication-Advanced (IMT-Advanced) systems are going to use 3500 MHz according to World Radiocommunication...

The evil ring is an attack on the location determination algorithms of Garcia-Alfaro et al. When inquired, an attacker returns a fake location sitting on a circle centered at the victim’s location and with radius equal to the attacker-victim separation distance. The calculation of the distance between the victim and attacker is not affected. A location-unaware node correctly determines its loca...

We report the distance-dependent energy transfer from an InGaN quantum well to graphene oxide (GO) by time-resolved photoluminescence (PL). A pronounced shortening of the PL decay time in the InGaN quantum well was observed when interacting with GO. The nature of the energy-transfer process has been analyzed, and we find the energy-transfer efficiency depends on the 1/d² separation distance, wh...