Research Article
Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications
Input: training matrix , training label , test set | ( is the number of test samples). | Output: identities of | Method: | for to | Normalize the columns of to have unit -norm. | Solve the -minimization problem: | | | Compute and output the identity of : | | Compute the distance of : | | Compute the threshold of : | | if | , | | end | end |
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