Principal Component Analysis: Eigenfaces

In course

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Description

This lecture covers the application of Principal Component Analysis (PCA) in facial recognition using the 'Labelled Faces in the Wild' dataset. Topics include downloading the dataset, normalizing data, computing principal components, plotting them, analyzing variance, and comparing classifier performance.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_in0nzgsm

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