Recognizing activities from partially observed streams using posterior regularized conditional random fields
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DOI: 10.1016/j.neucom.2017.05.004
Abstract: Abstract Recognizing activities from behavior data is important for comprehensively understanding human’s intents and interests. However, in most cases, the user behaviors are partially observed or recorded, which make it a big challenge to model… read more here.
Keywords: conditional random; random fields; posterior regularized; recognizing activities ... See more keywords