We present a correlation study of time-varying multivariate volumetric data sets. In most scientific disciplines, to test hypotheses and discover insights, scientists are interest...
In this paper, we present a group pattern mining approach to derive the grouping information of mobile device users based on the spatio-temporal distances among them. Group pattern...
This paper pursues the recently emerging paradigm of searching for entities that are embedded in Web pages. We utilize informationextraction techniques to identify entity candidat...
Julia Stoyanovich, Srikanta J. Bedathur, Klaus Ber...
This paper addresses the problem of establishing correspondences
between two sets of visual features using
higher-order constraints instead of the unary or pairwise
ones used in...
Francis R. Bach, In-So Kweon, Jean Ponce, Olivier ...
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...