From Covariance to Comode in context of Principal Component Analysis.

Daniyal Kazempour Long Mathias Yan Thomas Seidl

Published in: LWDA (2019)

Keyphrases

principal component analysis
covariance matrix
dimensionality reduction
database systems
face recognition
principal components
pattern recognition
evolutionary algorithm
discriminant analysis
hidden markov models
lower dimensional
dimension reduction
input image
database
feature space
support vector
data sets