Collaborations

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(John Fisher (MIT) and Al Hero (UM))
(John Fisher (MIT) and Al Hero (UM))
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*Research goal: Fisher and Papachristoudis have obtained distributed sensor planning strategies and characterized value of information for state prediction in the context of Gaussian observations and known topology.  
 
*Research goal: Fisher and Papachristoudis have obtained distributed sensor planning strategies and characterized value of information for state prediction in the context of Gaussian observations and known topology.  
 
The goal is to develop an analagous distrbiuted sensor planning framework for topology discovery using Poisson asymptotics developed by Firouzi and Hero.
 
The goal is to develop an analagous distrbiuted sensor planning framework for topology discovery using Poisson asymptotics developed by Firouzi and Hero.
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==Doug Cochran (ASU) and Al Hero (UM)==
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*Student collaborators: None yet.
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*Interactions: In July 2013 Cochran spent 1 week at UM.
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*Research goal: Cochran has been pursuing a an information geometric framework for dynamic trajectory planning.
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Independently, Hero has been pursuing an information geometric framework for static classification, clustering and estimation of
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data that comes in the form of probability distributions. The overall goal is to combine these two perspectives.

Revision as of 16:19, August 25, 2013

Al Hero (UM) and Jon How (MIT)

value-driven mission planning applications dveloped in How's laboratory. A paper on this work is currently in preparation for submission to ICASSP.

John Fisher (MIT) and Al Hero (UM)

The goal is to develop an analagous distrbiuted sensor planning framework for topology discovery using Poisson asymptotics developed by Firouzi and Hero.


Doug Cochran (ASU) and Al Hero (UM)

Independently, Hero has been pursuing an information geometric framework for static classification, clustering and estimation of data that comes in the form of probability distributions. The overall goal is to combine these two perspectives.

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