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Motivated by applications in molecular biology and genotyping, this paper proposes a novel model of group testing for identifying items with real-valued status using nonbinary pooling designs under standard arithmetic observation. The purpose is to learn more information of each item to be tested rather than identify only which ones are defectives as was done in conventional group testing. This paper...
Based on fitting the Local Binary Patterns (LBP) histogram into the bag-of-words paradigm, we propose an LBP variant termed Principal Local Binary Patterns (PLBP) which are learned in an unsupervised way from the data. The learning problem turns out to be the same as the Principal Component Analysis (PCA) and thus can be solved very efficiently. Unlike the manually specified patterns in LBP which...
In this paper, a general model is proposed to predict vibration responses of rotor system supported by cylindrical roller bearing under the effects of surface waviness. The contact force is obtained by using Hertzian line elastic contact deformation theory. The waviness of rolling elements is modelled by the cosine function. The cylindrical roller bearing model includes centrifugal forces. The governing...
This paper introduces an error filtration method based on local similarity of the character to automatically identify a soiled vehicle license plate quickly. The pros and cons, as well as the engineering application of this technique are also discussed.
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