We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard docume...
Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, J...
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
This paper presents an automatic method of creating surface models at several levels of detail from an original polygonal description of a given object. Representing models at var...
Background: The goal of information integration in systems biology is to combine information from a number of databases and data sets, which are obtained from both high and low th...
Michael Baitaluk, Xufei Qian, Shubhada Godbole, Al...
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...