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eigen-faces's Introduction

project4/: code for the project requirments, also contains result figures
att_faces/: face images
tupip/: non-face images
autoencoder/: bonus part, written in python
to run the code, run project4/project4.m it takes ~5 minutes to finish the run

some important variables
face identification accuracy: acc_c
face recognition accuracy: acc_f
avg_d: L2 error for face reconstruction, row1: SVD, row2: eigen(XXT)
k_variance: # of eigenfaces with different variance, row1: SVD, row2: eigen(XXT)

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