A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
Bar charts are common data representations in scientific and technical papers. In order to recognize the printed bar charst, we present a new Hough based bar chart recognition algo...
This paper presents a study that uses simulation to improve shop floor performance by means of two layout types and certain operational parameters. In this study, an overview of t...
We propose a new replication control scheme for multiple-copy consistency in mobile distributed database systems. Replicating data at multiple sites could contribute to enhance th...
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...