Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Many large-scale distributed computing applications demand real-time responses by soft deadlines. To enable such real-time task distribution and execution on the volunteer resourc...
Sangho Yi, Emmanuel Jeannot, Derrick Kondo, David ...
Abstract. The pressing need for scalable query answering has motivated the development of many incomplete ontology-based reasoners. Improving the completeness of such systems witho...
We present a cryptographic framework to achieve access control, privacy of social relations, secrecy of resources, and anonymity of users in social networks. The main idea is to u...
—In this paper, we present a novel approach to search and retrieve from document image collections, without explicit recognition. Existing recognition-free approaches such as wor...