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At the end of the previous century most world countries faced serious complex problems concerning of mismatching skills and jobs which were regarded as the crisis of educa- tional systems. The main cause of this crisis was intensification of contradictions between qualitative changes occurred in global society on the account of increase in demand for knowledge and intensification of its spreading...
Balance of prognostic factors between treatment groups is desirable because it improves the accuracy, precision, and credibility of the results. In cluster-controlled trials, imbalance can easily occur by chance when the number of cluster is small. If all clusters are known at the start of the study, the “best balance” allocation method (BB) can be used to obtain optimal balance. This method will...
Imbalanced points are image points whose first-order intensity can be clustered into two imbalanced classes. An important property of imbalanced points is that they can be contiguous to each other. The property helps improve the localization accuracy of imbalanced points across imaging variations. Based on this local geometric coherency property, we propose a global-to-local scheme for imbalanced...
Imbalance oriented selection scheme was recently proposed to detect stable image points in weakly or sparsely textured images. The scheme chooses image points whose one-pixel-wide directional intensity variations can be clustered into two imbalanced classes as candidates. In this paper, we propose general imbalance decided by multi-pixel-wide directional intensity variations. We present a case study...
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