This project provides a comprehensive, from-scratch implementation of the classic Eigenfaces method for face recognition, combining Principal Component Analysis (PCA) for dimensionality reduction with ...
a. Lo script carica il dataset "dataSet.npy", composto da $N = 20000$ osservazioni $(X_i, Y_i)$, dove $X_i$ è un vettore di 10 caratteristiche e $Y_i \in {-1, 1}$. b ...
Abstract: In this paper we proposed a face recognition techniques based on Principal component analysis and two Dimension Principal Component Analysis using python. Many researcher’s use Matlab ...
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