We propose a Named Entities transliteration mining system using Finite State Automata (FSA). We compare the proposed approach with a baseline system that utilizes the Editex technique to measure the length-normalized phonetic based edit distance between the two words. We submitted three standard runs in NEWS2010 shared task and ranked first for English to Arabic (WM-EnAr) and obtained an Fmeasu...

—Negotiation is a process between self-interested agents in ecommerce trying to reach an agreement on one or multi issues. The outcome of the negotiation depends on several parameters such as the agents' strategies and the knowledge one agent has about the opponents. One way for discovering opponent's strategy is to find the similarity between strategies. In this paper we present a simple model...

This study examines how email is utilized to enact maintenance behaviors in interpersonal relationships and explores whether geographic distance between individuals affects this process. Two hundred twenty-six college students accumulated personal email messages over a one-week period. These emails were coded using Canary and Stafford’s (1994) maintenance strategy topology. Results indicate tha...

This paper describes Cuba's experience with the Virtual Health University (VHU) as a strategic project of INFOMED, promoting creation of an open teaching-learning environment for health sciences education, through intensive and creative use of Information and Communication Technologies (ICTs) and a network approach to learning. An analysis of the VHU's main antecedents in its different stages o...

We present a Bayesian approach for jointly learning distance metrics for a large collection of potentially related learning tasks. We assume there exists a relatively smaller set of basis distance metrics and the distance metric for each task is a sparse, positively weighted combination of these basis distance metrics. The set of basis distance metrics and the combination weights are learned fr...

Human keypoints are a well-studied representation of people. We explore how to use keypoint models to improve instance-level person segmentation. The main idea is to harness the notion of a distance transform of oracle provided keypoints or estimated keypoint heatmaps as a prior for person instance segmentation task within a deep neural network. For training and evaluation, we consider all thos...

Formation flight can result in large induced drag reductions. Optimum spanloads for a group of aircraft flying in an arrow formation were found using a discrete vortex method with a Trefftz plane analysis under constraints in lift, pitching moment and rolling moment coefficients. It has been shown that large reductions in induced drag can be obtained when the spanwise and vertical distances bet...

With the help of a kinematic analysis we tried to establish whether the competitors with a shorter line of skiing achieve higher velocities among the slalom gates. The first part of research found out that the competitors who had the shortest lines of skiing in the first analysed turn had, as a rule, the longest lines of skiing in the second turn and vice versa. The shortest line of skiing is t...

We consider a problem of motion planning under uncertainty. A robot can navigate freely in the plane and, using a built-in vision system, can determine distances and angles. Initially, the robot stands at a point close to a an edge of a polygonal obstacle (e. g. a wall of a huge building) and faces a corner at distance 1 from its position. The other wall which forms the corner is invisible from...

Existing cluster-based methods for investigating insect species assemblages or profiles of a region to indicate the risk of new insect pest invasion have a major limitation in that they assign the same species risk factors to each region in a cluster. Clearly regions assigned to the same cluster have different degrees of similarity with respect to their species profile or assemblage. This study...