Online Interactive Generative Multiscale Manifold Learning

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$79,818.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
N00014-13-M-0021
Award Id:
n/a
Agency Tracking Number:
N122-138-0747
Solicitation Year:
2012
Solicitation Topic Code:
N122-138
Solicitation Number:
2012.2
Small Business Information
19 Whitney Avenue, New Haven, CT, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
030077908
Principal Investigator:
Ronald Coifman
CTO
(203) 285-8617
coifman@plainsightsystems.com
Business Contact:
Andreas Coppi
VP
(203) 285-8617
coppi@plainsightsystems.com
Research Institution:
Stub




Abstract
One of the main obstacles to the useful exploitation of dimensionality reduction, both linear and nonlinear, is the lack of effective synthesis methods to generate examples in the original exploitation space, as opposed to the low dimensional parameter space. The ability to interactively navigate in the appropriate relevant low dimensional representation, and simultaneously observe the related"original"data modality would enable both sensor fusion and enhanced recognition and identification. Our team has developed an initial theoretical framework that promises to provide this ability, which we propose to demonstrate as Fast Online Interactive Generative Multiscale Manifold Learning.

* information listed above is at the time of submission.

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