Earlier work has demonstrated the effectiveness of in-network data aggregation in order to minimize the amount of messages exchanged during continuous queries in large sensor netwo...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
The vertex representation, a new data structure for representing and manipulating orthogonal objects, is presented. Both interiors and boundaries of regions are represented implic...
Annotated speech corpora are databases consisting of signal data along with time-aligned symbolic ‘transcriptions’. Such databases are typically multidimensional, heterogeneou...
This paper addresses the efficient processing of top-k queries in wide-area distributed data repositories where the index lists for the attribute values (or text terms) of a query...
Sebastian Michel, Peter Triantafillou, Gerhard Wei...