Update ddasp_exercise_slides.tex

typo

Author: fs446

slides/ddasp_exercise_slides.tex

@@ -2062,7 +2062,7 @@ \section{Section II: Feature Design}
 %\small
 $\cdot$ an SVD-based diagonalization inherently sorts the eigenvalues in $\bm{\Lambda}$, making the orthogonal PC scores \underline{variance-sorted} (i.e. covariance matrix of $\bm{F}$ is a sorted diagonal matrix)
 
-$\cdot$ $\bm{V} / \bm{F}$ might exhibit reflections compared to $\bm{V} / \bm{F}$ from SVD-based approach
+$\cdot$ $\bm{F} / \bm{L}$ might exhibit reflections compared to $\bm{F} / \bm{L}$ from SVD-based approach
 
 $\cdot$ SVD / covariance approaches are consistent by itself as calculation of $\bm{F}$ and $\bm{L}$ is linked