Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
Low-overhead message passing is critical to the performance of many applications. Active Messages[27] reduce the software overhead for message handling: messages are run as handle...
Deborah A. Wallach, Wilson C. Hsieh, Kirk L. Johns...
Abstract. Active Storage provides an opportunity for reducing the bandwidth requirements between the storage and compute elements of current supercomputing systems, and leveraging ...
On February 8-10, 2010, CAIDA hosted the second Workshop on Active Internet Measurements (AIMS-2) as part of our series of Internet Statistics and Metrics Analysis (ISMA) workshop...
Discovering rare categories and classifying new instances of them is
an important data mining issue in many fields, but fully supervised
learning of a rare class classifier is pr...