In situ learning for underwater object recognition

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,934.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
N00014-09-M-0163
Award Id:
92533
Agency Tracking Number:
N091-066-0370
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1009 Slater Rd., Suite 200, Durham, NC, 27703
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
147201342
Principal Investigator:
Patrick Rabenold
Principal Engineer
(919) 323-3452
prabenold@siginnovations.com
Business Contact:
David Dye
Principal Engineer
(919) 794-3322
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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