Online Interactive Generative Multiscale Manifold Learning

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-13-M-0021
Agency Tracking Number: N122-138-0747
Amount: $79,818.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2012
Solicitation Topic Code: N122-138
Solicitation Number: 2012.2
Small Business Information
19 Whitney Avenue, New Haven, CT, -
DUNS: 030077908
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ronald Coifman
 CTO
 (203) 285-8617
 coifman@plainsightsystems.com
Business Contact
 Andreas Coppi
Title: VP
Phone: (203) 285-8617
Email: 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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