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In this work, we propose a kind of supervised classification - support vector machine (SVM) to segment magnetic resonance image (MRI). As a classifier, SVM can employ structural risk minimization principle and perform better in classification task. Based on those excellent capabilities of SVM, we conduct many detailed experiments on some standard simulated data and real data. According to the experiments...
The majority of neurons in primary visual cortex (V1) of brain are orientation-selective. Both the classical receptive field (CRF) and the non-classical receptive field (NCRF), which modulates the CRF and mainly yields inhibition, could be orientation-selective and may obtain different tune. For a single neuron, the response is determined by the interaction of its CRF and NCRF. And the horizontal...
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