To be efficient, data protection algorithms should generally exploit the properties of the media information in the transform domain. In this paper, we will advocate the use of no...
Philippe Jost, Pierre Vandergheynst, Pascal Frossa...
One important way in which sampling for approximate query processing in a database environment differs from traditional applications of sampling is that in a database, it is feasi...
Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gaga...
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
The complexity of developing and deploying context-aware pervasive-computing applications calls for distributed software infrastructures that assist applications to collect, aggre...