In situ learning for underwater object recognition

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-09-M-0163
Agency Tracking Number: N091-066-0370
Amount: $99,734.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2009
Solicitation Topic Code: N091-066
Solicitation Number: 2009.1
Small Business Information
1009 Slater Rd., Suite 200, Durham, NC, 27703
DUNS: 147201342
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Patrick Rabenold
 Principal Engineer
 (919) 323-3452
 prabenold@siginnovations.com
Business Contact
 David Dye
Title: Principal Engineer
Phone: (919) 794-3322
Email: ddye@siginnovations.com
Research Institution
N/A
Abstract
We propose a principled in situ learning framework that is appropriate for a Bayesian classifier implemented with semi-supervised and multi-task learning. We will investigate several different forms of in situ learning, and will perform testing on measured data to help define which is most appropriate for Navy sensing missions. In addition, we will develop new techniques for feature adaptivity and selection, to tune the features to the particular targets and clutter in the environment under test.

* Information listed above is at the time of submission. *

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