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We propose a particle implementation for the multi-group multi-target probability hypothesis density (MGMT-PHD) filter in this paper. It provides estimates of motion state of multi-group target centers as well as its components. The algorithm models multi-group centers as parent process, components as daughter processes related to centers. With separation of the two interacting point processes, the...
As a retrieval task, expert finding has recently attracted much attention. And various methods have been proposed to rank expert candidates against topical query. The most efficient approach is document-based method that treats supporting documents as a ldquobridgerdquo and ranks the candidates based on the co-occurrences of topic and candidate mentions in the supporting documents.However, such kind...
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