the radio magnetotelluric (rmt) method is one of the most widely used electromagnetic (em) methods which employs artificial time varying electric and magnetic fields at the surface of the earth for imaging conductivity. the radiomagnetotelluric method proposed by goldstein and strangway (1975) is based on measuring one set of horizontal electrical and perpendicular magnetic components. after th...

Animated characters bring the illusion of life to feature films, television shows, video games, and educational simulations. However, it is difficult for artists to define natural and expressive movement. This challenge is compounded by the fact that people are intrinsically sensitive to subtle inaccuracies in human motion. To address this problem, this thesis presents techniques that adjust ex...

In this paper, we extend the conventional concept of a database as a set of discrete relations to include a set of piecewise continuous functions. We extend the features of Query-by-Example to operations on this piecewise continuous data. Further, we include the concept of iteration in the language, which enhances its capabilities to that of a general programming language. These extensions are ...

We propose a method for joint unsupervised discovery of multiword expressions (MWEs) and their translations from parallel corpora. First, we apply independent monolingual MWE extraction in source and target languages simultaneously. Then, we calculate translation probability, association score and distributional similarity of co-occurring pairs. Finally, we rank all translations of a given MWE ...

Processing queries for databases containing multimedia information is a hard question. In this paper we describe a knowledge base approach to effectively resolve query by examples in image database. We present a prototype system that is at the moment under developing in our Labs. We consider wavelet descriptors for modeling color, shape and texture features, and we propose a knowledge base for ...

We address the problem of classifying multiword expression tokens in running text. We focus our study on Verb-Noun Constructions (VNC) that vary in their idiomaticity depending on context. VNC tokens are classified as either idiomatic or literal. We present a supervised learning approach to the problem. We experiment with different features. Our approach yields the best results to date on MWE c...