Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
Abstract— This paper describes an investigation into the control of autonomous mobile sensor platforms in a marine sensor network used to provide monitoring of transitory phenome...
Donald P. Eickstedt, Michael R. Benjamin, Henrik S...
It is extremely hard for a global organization with services over multiple channels to capture a consistent and unified view of its data, services, and interactions. While SOA and...
Ismail Ari, Jun Li, Riddhiman Ghosh, Mohamed Dekhi...
Web authoring environments enable end-users to create applications that integrate information from other web sources. Users can create web sites that include built-in components t...
Empirical performance evaluation of parallel systems and applications can generate significant amounts of performance data and analysis results from multiple experiments as perfo...
Kevin A. Huck, Allen D. Malony, Robert Bell, Alan ...