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This paper expounds the basic ideas and features of Monte Carlo random experiment. It describes two acoustic passive localization algorithms used in the field of engineering (planar four-element cross array and stereo five-element pentahedron array), and then describes their accuracy analysis. We have done a simulation on the two passive localization algorithms based on Monte Carlo random experiment,...
In this paper a fast fingerprint verification method is proposed. In which a smaller sub-region captured in fingerprint image is localized as the matching region. It is vital to detect reference points in the fingerprint image for accurate determining such region in this system. First, a priori knowledge of the complete fingerprint acquired during the fingerprint enrollment process. In the same time...
Selecting relevant features is in demand when a large data set is of interest in a classification task. It produces a tractable number of features that are sufficient and possibly improve the classification performance. This paper studies a statistical method of Markov blanket induction algorithm for filtering features and then applies a classifier using the Markov blanket predictors. The Markov blanket...
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