We are interested in learning part based representations of objects and object categories, which would enable efficient recognition and fast retrieval and ultimately lead to scalable object recognition systems.
The focus of this project is on new feature selection criteria for learning discriminative features, combining generative and discriminative techniques and active and sequential learning of the models.