In this paper we discuss our recent research and open issues in structural and semantic analysis of digital videos. Specifically, we focus on segmentation, summarization and class...
We present two methods for learning the structure of personal names from unlabeled data. The first simply uses a few implicit constraints governing this structure to gain a toehol...
This paper presents a document analysis system which is capable of extracting the semantics of specific text portions of structured documents. The main component of the system is ...
We present a simple and scalable algorithm for maximum-margin estimation of structured output models, including an important class of Markov networks and combinatorial models. We ...
Benjamin Taskar, Simon Lacoste-Julien, Michael I. ...
— We describe a theoretical unifying framework to express comparison of RNA structures, which we call alignment hierarchy. This framework relies on the definition of common supe...