Unique and challenging security problems arise due to the scarcity of computational, storage, and power resources in the low-cost pervasive computing environment. Particularly rel...
We propose a visual event recognition framework for consumer domain videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). First, we propose a new...
Abstract—Back-pressure based algorithms based on the algorithm by Tassiulas and Ephremides have recently received much attention for jointly routing and scheduling over multihop ...
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
The Ontology Definition Metamodel (ODM) defines a set of UML metamodels and profiles for development of RDF and OWL. The UML profiles in the ODM specification adapt UML notations t...
Elisa F. Kendall, Roy Bell, Roger Burkhart, Mark D...