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PCA-Boosted Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes.
Muhammad Al-Digeil
Yuri Grinberg
Daniele Melati
Mohsen Kamandar Dezfouli
Jens H. Schmid
Pavel Cheben
Siegfried Janz
Dan-Xia Xu
Published in:
CoRR (2022)
Keyphrases
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data sets
data analysis
high dimensional data
original data
training data
dimensionality reduction
spatial data
nonlinear dimensionality reduction
pattern recognition
multi dimensional
low dimensional
random projections
dimensionality reduction methods