Tangent space alignment: transfer learning for brain-computer interface

HIGHLIGHTS

• who: Alexandre Bleuzeu0301 from the Hanyang University, South Korea Qilu University of Technology, China have published the research work: Tangent space alignment: Transfer learning for Brain-Computer Interface, in the Journal: (JOURNAL)
• what: As a general rule, the authors seek the smallest number Nv of singular vectors which corresponding singular values explain at least 99.9% of the variance, resulting in Uu0303 and Vu0303 with shape Nc (N2c +1), Nv. For the rotation (alignment), the authors propose a supervised method that uses the mean point of the classes. The authors have focused on cross-subject . . .
  

   

  

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