Object recognition as machine translation

By Peter Carbonetto (joint work with Nando de Freitas)

In my current work with Nando de Freitas, I'm experimenting with various methods to construct Bayesian models for labeling objects in a scene. The model is provided with a training set (images labeled with words), and the objective is to generalize this to unseen examples as optimally as possible. In the talk I will point out some of the challenges in building such a image translation model, and how we propose to surmount them.

Check out these links for more information on our object recognition model and our for feature weighting.

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