In a categorized information space, predicting users' information needs at the category level can facilitate personalization, caching and other topic-oriented services. This ...
In this article we present a method for combining different information retrieval models in order to increase the retrieval performance in a Speech Information Retrieval task. The...
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
For many mission-critical tasks, tight guarantees on the flow of information are desirable, for example, when handling important cryptographic keys or sensitive financial data. We...
Mohit Tiwari, Hassan M. G. Wassel, Bita Mazloom, S...
Reference reconciliation is the problem of identifying when different references (i.e., sets of attribute values) in a dataset correspond to the same real-world entity. Most previ...