We describe our experiments for the High-level Feature Extraction (FE) and Search (SE) tasks. We submitted two automatic runs to the FE task, the first one (MMIS alexei) was based ...
Formal languages for probabilistic modeling enable re-use, modularity, and descriptive clarity, and can foster generic inference techniques. We introduce Church, a universal langu...
Noah Goodman, Vikash K. Mansinghka, Daniel M. Roy,...
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
— This paper proposes CUP, a protocol for performing Controlled Update Propagation to maintain caches of metadata in peer-to-peer networks. To moderate propagation without imposi...
We propose an original approach for the characterization of video dynamic content with a view to supplying new functionalities for motion-based video indexing and retrieval with q...