potential field images obtained in potential field data measurements are suitable tools for mineral and hydrocarbons resources explorations. these images consist of different anomalies which in many cases are contaminated with noise. the horizontal location of the boundaries of potential field anomaly sources is of interest in potential field interpretation. however, the edge of potential field...

We present numerical dynamo models which qualitatively reproduce some structural characteristics of the present-day geomagnetic field. Timedependent convection in an electrically conducting, rotating spherical shell at Ekman numbers 1 3 x l0 -4 generates dipole-dominated magnetic fields, which exhibit distinct bundles of strong radial flux at high latitudes, low flux over the poles, and paired ...

A hierarchical model of the brain has been developed, based on the ARTTM system, in which nodes represent the structures of interest, and arcs represent 3-D topographical relationships between organs and part-of relationships. The nodes contain attributes of the organs which encode their expected shape and identifying features; they also attach to the recognition rules, which use the measured a...

The goal of this paper is to consider the mathematical operations proposed in the literature for composing distributional vectors using mixture models, and assess their linguistic plausibility by looking at various aspects of their behaviour. We explore representational issues related to the space in which distributional vectors live, and to the ways composition operations affect that space. Ha...

Nontraditional approach to explain the thermoelectric cooling is suggested . It is based on the Le ChatelierBraun thermodynamic principle. New effect of cooling and heating of junction of two materials (barrierless thermoelectric cooling) is theoretically predicted, and this effect is different from the Peltier effect (barrier thermoelectric cooling). The suggested thermoelectric effect must be...

One of the challenges in the field of content-based image retrieval is to bridge the semantic gap that exists between the information extracted from visual data using classifiers, and the interpretation of this data made by the end users. The semantic gap is a cascade of 1) the transformation of image pixels into labelled objects and 2) the semantic distance between the label used to name the c...

We introduce a framework for semantic interpretation in which dependency structures are mapped to conceptual representations based on a parsimonious set of interpretation schemata. Our focus is on the empirical evaluation of this approach to semantic interpretation, i.e., its quality in terms of recall and precision. Measurements are taken with respect to two real-world domains, viz. informatio...