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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 期刊論文 >  A NONPARAMETRIC TEST FOR COMPARING ESTIMATORS IN MARKOV RANDOM-FIELDS


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/66706


    Title: A NONPARAMETRIC TEST FOR COMPARING ESTIMATORS IN MARKOV RANDOM-FIELDS
    Authors: CHEN, CC
    教師: 陳朝欽
    Date: 1990
    Publisher: Elsevier
    Relation: PATTERN RECOGNITION LETTERS,Volume: 11,Issue: 11,Pages: 765-770,Published: NOV 1990
    Keywords: Auto-binomial model
    coding method
    generalized Ising model
    Gibbs random field
    Abstract: This paper establishes a nonparametric test to compare estimators in Markov random fields. It is particularly useful when the behaviors of estimators are unknown. The proposed methodology is used to compare two estimators, based on coding method and maximum pseudo-likelihood method, in the generalized Ising and auto-binomial texture models. Experiments show that the estimator based on maximum pseudo-likelihood is superior to the estimator based on coding method.
    URI: http://www.elsevier.com/
    http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/66706
    Appears in Collections:[資訊工程學系] 期刊論文

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