Unsupervised learning of object category from images is carried out by
using an automatic image recognition system. A plurality of training
images are automatically analyzed using an interest operator which
produces an indication of features. Those features are clustered using a
vector guantizer. The model is learned from the features using
expectation maximization to assess a joint probability of which features
are most relevant.