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Pattern-based software failure detection is an important topic of research in recent years. In this method, a set of patterns from program execution traces are extracted, and represented as features, while their occurrence frequencies are treated as the corresponding feature values. But this conventional method has its limitation due to neglect the pattern's position information, which is important...
It is useful to know the sequence of hidden brain states that subjects pass through when performing some complicated tasks. In this paper, we focus on classifying n-class brain states from fMRI data using fuzzy SVMs. First, each fMRI image is processed and transformed to normalized coordinates. Then, the features are extracted, based on the activities of voxel and the index of Brodmann's areas which...
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