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PCA-Enhanced Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes.
Muhammad Al-Digeil
Yuri Grinberg
Daniele Melati
Jens H. Schmid
Pavel Cheben
Siegfried Janz
Dan-Xia Xu
Published in:
Canadian AI (2023)
Keyphrases
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data sets
data analysis
high dimensional data
dimensionality reduction
input data
face recognition
feature extraction
training data
original data
data visualization
pattern recognition
high dimensional
data points
low dimensional
locally linear embedding
nonlinear dimensionality reduction