Riemannian geometry-based transfer learning for reducing training time in c-vep bcis

HIGHLIGHTS

• who: Jiahui Ying from the DepartmentNanchang University have published the research work: Riemannian geometry-based transfer learning for reducing training time in c-VEP BCIs, in the Journal: Scientific Reports Scientific Reports
• what: The authors propose a training accuracy-based subject selection (TSS) algorithm shown in Algorithm 1, where the function acc=train Then Test(PSN, PT ) returns the accuracy obtained when the MDM is trained on the data set PSN from N source subjects and then is used to classify training data set PT from the target subject. In the study, the nine channels . . .
  

   

  

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