Abstract: Dimensionality reduction is the search for a low-dimensional space that captures the “essence” of the original high-dimensional data. Principal Component Analysis (PCA) is one of the most ...
Abstract: Objective: Spatial filtering and template matching-based steady-state visually evoked potentials (SSVEP) identification methods usually underperform in SSVEP identification with small-sample ...
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