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.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on Mediaspace