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TELKOMNIKA Telecommunication, Computing, Electronics and Control
PCA-based dimensionality reduction for face recognition
In this paper, we conduct a comprehensive study on dimensionality reduction (DR)
techniques and discuss the mostly used statistical DR technique called principal com-
ponent analysis (PCA) in detail with a view to addressing the classical face…
techniques and discuss the mostly used statistical DR technique called principal com-
ponent analysis (PCA) in detail with a view to addressing the classical face…
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Adaptive Multi-level Backward Tracking for Sequential Feature Selection
Abstract. In the past few decades, the large amount of available data has become a major challenge in data mining and machine learning. Feature selection is a significant preprocessing step for selecting the most informative features by removing…