Login / Signup
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold.
Junghyun Lee
Gwangsu Kim
Matt Olfat
Mark Hasegawa-Johnson
Chang D. Yoo
Published in:
CoRR (2021)
Keyphrases
</>
principal component analysis
euclidean space
low dimensional
lower dimensional
feature extraction
feature space
high dimensional
dimensionality reduction
optimization problems
manifold learning
constrained optimization
random projections
principal components analysis