Compare the classification approaches of KNN, Convolutional Neural Network (CNN) and an autoencoder based neural network? If features were collected using LBP, which of the three classifier will perform better and why? If features were obtained as raw pixels, which classifier will work better? What if the features were obtained from a dimensionality reduction by the PCA, then which classifier will work better for object recognition?