As part of a university module, a peer and I investigated several approaches to
the problem of facial recognition. Principal Component Analysis (PCA) and
Linear Discriminant Analysis (LDA) were used for dimensionality reduction, and
methods such as Nearest Neighbour (NN) were used for classification.
Our final model utilised ensemble learning and bagging.
We described our research on the methods to maximise recognition accuracy in a report.