INTERIM PROGRESS REPORT Period covered by report: 1 August 2012 to 31 July 2013 Proposal Title: (MURI) Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation Contract/Grant #: W911NF-11-1-0391 Authors of report: Alfred O. Hero (PI), U of Michigan Douglas Cochran, Arizona State U Emre Ertin, Ohio State U John W. Fisher III, MIT Jonathon How, MIT Michael Jordan, UC Berkeley Randolph L. Moses, Ohio State U Raj Rao Nadakuditi, U of Michigan Stefano Soatto, UCLA Alan Willsky, MIT Angela Yu, UCSD ARO proposal number: W911NF-11-1-0391 Principal Investigator: Alfred O. Hero, Professor Department of Electrical Engineering and Computer Science The University of Michigan 1301 Beal Ave Ann Arbor, MI 48109-2122 Tel: 734 763 0564 Email:
[email protected] Submitted to: Dr. Liyi Dai Program Manager Army Research Office Raleigh, NC MURI: Value-centered Information Theory Year 2 IPR Abstract This interdisciplinary project is developing a comprehensive set of principles for task-specific information extraction and information exploitation that can be used to design the next gen- eration of autonomous and adaptive sensing systems. The significance of this research is that it addresses the widespread and longstanding problem of defining, assessing, and exploiting the value of information in active sensing systems. This year we report progress in twenty areas organized around three main thrusts: (1) learning and representation of high dimensional data, (2) distributed information fusion, and (3) active information exploitation. In the learning and representation thrust, progress ranges from assessing value of Kronecker representations of high-dimensional covariance matrices to learning to rank user preference data, an impor- tant task for human-in-the-loop decision systems.