Bayes-optimal limits in structured PCA, and how to reach them.

Jean Barbier Francesco Camilli Marco Mondelli Manuel Sáenz

Published in: CoRR (2022)

Keyphrases

bayes optimal
principal component analysis
learning curve
version space
dimensionality reduction
principal components
feature extraction
distribution free
upper bound
high dimensional
face images
generalization error
face recognition
data sets
low dimensional
feature space
linear classifiers
training data