We describe a domain-independent framework for plan summarization and comparison that can help a human understand both the key elements of an individual plan and important differe...
Many applications would benefit if media objects such as images could be selected and classified (or clustered) such that "conceptually similar" images are grouped toget...
In this paper, a graphical modeling-based approach to semantic video analysis is presented for jointly realizing modality fusion and temporal context exploitation. Overall, the ex...
We address the problem of extracting semantics of tags ? short, unstructured text-labels assigned to resources on the Web ? based on each tag's metadata patterns. In particul...
Abstract. In this paper, we present a FASST mining approach to extract the frequently changing semantic structures (FASSTs), which are a subset of semantic substructures that chang...