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 quantizer . the model is learned from the features using expectation maximization to assess a joint probability of which features are most relevant .