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This paper presents a supervised framework for extracting keywords from meeting transcripts, a genre that is significantly different from written text or other speech domains such as broadcast news. In addition to the traditional frequency- or position-based clues, we investigate a variety of novel features, including linguistically motivated term specificity features, decision-making sentence-related...
Motion trajectories contain rich high-level semantic information such as object behaviors and gestures, which can be effectively captured by supervised trajectory learning. However, it is usually a tough task to obtain a large number of high-quality manually labeled samples in real applications. Thus, how to perform trajectory learning in small training sample size situations is an important research...
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