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Jason K. Johnson

PhD candidate, EECS Dept., [[http://www.mit.edu/|MIT]]. \\ Member of the Stochastic Systems Group ([[http://ssg.mit.edu/|SSG]]), \\ Laboratory for Information and Decision Systems ([[http://lids.mit.edu/|LIDS]]). I attended Appalachian State University for two years before transferring to MIT, where I graduated S.B. Physics, 1995. During the next five years, I was a member of technical staff with Alphatech Inc., where I helped develop algorithms for multi-resolution signal and image processing, data fusion and multi-target tracking. In 2000, I entered the EECS graduate program at MIT under the direction of Alan Willsky, where I earned the S.M., 2003, and am currently working to complete the PhD program. ==== Research Summary My research has focused on the use of information theory and convex optimization to provide principled, tractable approximation methods for solving large-scale inference and estimation problems involving graphical models, also known as Markov random f
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Orbit-Product Representation and Correction of Gaussian Belief Propagation

Jason K. Johnson

calendar icon Aug 26, 2009 3064 views

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Message-Passing Algorithms for GMRFs and Non-Linear Optimization

Jason K. Johnson

calendar icon Feb 1, 2008 4079 views

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