Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
In the Expression Synthesis Project (ESP), we propose a driving interface for expression synthesis. ESP aims to provide a compelling metaphor for expressive performance so as to m...
With the rapid advances in Internet and Grid technique, an increasing number of applications will involve computing systems. These applications in turn create an increasing demand ...
Abstract. Web services have become the predominant paradigm for the development of distributed software systems. Web services provide the means to modularize software in a way that...
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...