Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Users of a digital book library system typically interact with the system to search for books by querying on the metadata describing the books or to search for information in the p...
Improvements in microprocessor and networking performance have made networks of workstations a very attractive platform for high-end parallel and distributed computing. However, t...
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...