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Applications of Sparse Modelling and Principle Component Analysis for the Virtual Metrology of Comprehensive Multi-dimensional Quality.
Sumika Arima
Takuya Nagata
Huizhen Bu
Satsuki Shimada
Published in:
ICORES (2019)
Keyphrases
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multi dimensional
principle component analysis
high dimensional
random projections
dimension reduction
lower dimensional
independent component analysis
feature space
dimensionality reduction
data sets
low dimensional
high dimensional data
random sampling
principal components analysis