Abstract. Theorem-prover based modular checkers have the potential to perform scalable and precise checking of user-defined properties by combining pathsensitive intraprocedural re...
Thomas Ball, Brian Hackett, Shuvendu K. Lahiri, Sh...
From the recovery of structure from motion to the separation of style and content, many problems in computer vision have been successfully approached by using bilinear models. The...
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...
This paper describes a system that can build appearance models of animals automatically from a video sequence of the relevant animal with no explicit supervisory information. The ...
Abstract-- We introduce the novel notion of explanationbased diversification to address the well-known problem of overspecialization in item recommendations. Over-specialization in...