There are various techniques for simulating crowds, however, in most cases the quality of the simulation is measured by examining its “look-and-feel”. Even if the aggregate mov...
This paper addresses the efficient processing of similarity queries in metric spaces, where data is horizontally distributed across a P2P network. The proposed approach does not r...
Graph-based semi-supervised learning has gained considerable
interests in the past several years thanks to its effectiveness
in combining labeled and unlabeled data through
labe...
It is well known that parsing accuracy suffers when a model is applied to out-of-domain data. It is also known that the most beneficial data to parse a given domain is data that ...
Similarity joins in databases can be used for several important tasks such as data cleaning and instance-based data integration. In this paper, we explore ways how to support such ...