Voting experts: An unsupervised algorithm for segmenting sequences

Paul Cohen, Niall Adams, Brent Heeringa

    Research output: Contribution to journalArticlepeer-review

    45 Scopus citations

    Abstract

    We describe a statistical signature of chunks and an algorithm for finding chunks. While there is no formal definition of chunks, they may be reliably identified as configurations with low internal entropy or unpredictability and high entropy at their boundaries. We show that the log frequency of a chunk is a measure of its internal entropy. The Voting-Experts exploits the signature of chunks to find word boundaries in text from four languages and episode boundaries in the activities of a mobile robot.

    Original languageEnglish (US)
    Pages (from-to)607-625
    Number of pages19
    JournalIntelligent Data Analysis
    Volume11
    Issue number6
    DOIs
    StatePublished - 2007

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Vision and Pattern Recognition
    • Artificial Intelligence

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