Abstract. Non-trivial retrieval applications involve complex computations on large multi-dimensional datasets. These should, in principle, benefit from the use of relational datab...
Alex van Ballegooij, Roberto Cornacchia, Arjen P. ...
We propose a novel approach for de ning and querying a super-peer within a schema-based super-peer network organized into a two-level architecture: the low level, called the peer l...
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Applications requiring the handling of uncertain data have led to the development of database management systems extending the scope of relational databases to include uncertain (p...
Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil ...
Keyword search is considered to be an effective information discovery method for both structured and semistructured data. In XML keyword search, query semantics is based on the con...