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In situ learning for underwater object recognition

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
92533
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
N091-066-0370
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Signal Innovations Group, Inc.
4721 Emperor Blvd. Suite 330 Durham, NC -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: In situ learning for underwater object recognition
Agency / Branch: DOD / NAVY
Contract: N00014-09-M-0163
Award Amount: $69,934.00
 

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.

Principal Investigator:

Patrick Rabenold
Principal Engineer
9193233452
prabenold@siginnovations.com

Business Contact:

David Dye
Principal Engineer
9197943322
ddye@siginnovations.com
Small Business Information at Submission:

SIGNAL INNOVATIONS GROUP, INC.
1009 Slater Rd. Suite 200 Durham, NC 27703

EIN/Tax ID: 201104360
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No