We describe a large-scale application of methods for finding plagiarism and self-plagiarism in research document collections. The methods are applied to a collection of 284,834 d...
Daria Sorokina, Johannes Gehrke, Simeon Warner, Pa...
The ability to distinguish statistically different populations of speakers or writers can be an important asset in many NLP applications. In this paper, we describe a method of us...
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
This paper presents a probabilistic information retrieval framework in which the retrieval problem is formally treated as a statistical decision problem. In this framework, querie...
System software for future computing environments becomes more complex and heterogeneous. Portability becomes one of the important properties of the future system software. Compon...