We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...
A content-based retrieval model for tackling the mismatch problems specific to music data is proposed and implemented. The system uses a pitch profile encoding for queries in any ...
We present three distributed algorithms to build global inverted files for very large text collections. The distributed environment we use is a high bandwidth network of workstati...
Berthier A. Ribeiro-Neto, Edleno Silva de Moura, M...
Applications designed to execute on "computational grids" frequently require the simultaneous co-allocation of multiple resources in order to meet performance requiremen...