The Tangent Space of the SPD Manifold for EEG Classification
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Adapted from an appendix of my MS thesis. Tangent Space Current state-of-the-art (SOTA) machine learning (ML) for electroencephalogram (EEG) uses across channel covariance matrices and Riemannian geometric statistics on the symmetric positive definite (SPD) manifold for classification [1, 2]. These methods either discriminate directly on the SPD manifold or in the vector space that is tangent to the manifold. In this section we analyze the latter method of discrimination that performs…
1Key Takeaways
- Adapted from an appendix of my MS thesis.
- Tangent Space Current state-of-the-art (SOTA) machine learning (ML) for electroencephalogram (EEG) uses across channel covariance matrices and Riemannian geometric statistics on the symmetric positive definite (SPD) manifold for classification [1, 2].
- These methods either discriminate directly on the SPD manifold or in the vector space that is tangent to the manifold.
- In this section we analyze the latter method of discrimination that performs….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that adapted from an appendix of my MS thesis.
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