Fritz H. Obermeyer
My thesis project, Johann, is a system for doing and verifying mathematics and programming, based on combinators and untyped lambda calculus. Johann uses some knowledge representation and statistical learning tricks to prove/verify statements expressed in a particular lambda-calculus. |
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"Short-term Ambiguity Assessment to Augment Tracking Data Association Information", S. Gadaleta, S. Herman, M. Levedahl, S. Miller, F. Obermeyer, B.J.Slocumb, and A.B.Poore, Fusion 2005 |
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"A Bayesian Network Tracking Database", Fritz Obermeyer and Aubrey Poore, Proceedings of SPIE Signal and Data Processing of Small Targets 2004 |
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"Batch maximum likelihood (ML) and maximum a posteriori (MAP) estimation with process noise for tracking applications", A.B.Poore, B.J.Slocumb, B.J.Suchomel, F.H.Obermeyer, S.M.Herman, S.M.Gadaleta, Proceedings of SPIE Signal and Data Processing of Small Targets 2003 |