We address the problem of detecting irregularities in visual data, e.g., detecting suspicious behaviors in video sequences, or identifying salient patterns in images. The term &qu...
The paper proposes an extension of CFDs [1], referred to as extended Conditional Functional Dependencies (eCFDs). In contrast to CFDs, eCFDs specify patterns of semantically relate...
Traditional DBMSs decouple statistics collection and query optimization both in space and time. Decoupling in time may lead to outdated statistics. Decoupling in space may cause s...
Amr El-Helw, Ihab F. Ilyas, Wing Lau, Volker Markl...
The ongoing revolution in life sciences research is producing vast amounts of genetic and proteomic sequence data. Scientists want to pose increasingly complex queries on this dat...
Sandeep Tata, Jignesh M. Patel, James S. Friedman,...
Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this paper, we introduce a...