Research Interests
I am interested in statistical modeling, pattern recognition, computer vision and cognitive neuroscience.
Highlights
Generative models of images are of particular interest, because they provide insights into the image representation, i.e. how images should be stored. Images, different from natural language, speech, gene expression etc., are more efficiently represented by certain features (e.g. 2D geometric primitives, interest regions, color) and certain composition rules binding the features. It is then interesting to spot them among thousands of candidate features and their compositions.
The Active basis model is a probablistic shape template learnable from training examples from an image category, into which we may add image features that model the texture ("geometry-less") part of images and thus forming a mixed template. The learning of both models follow information theoretic criteria.