Concept and Context Bi-Hierarchical Learning

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-11-M-0493
Agency Tracking Number: N102-175-1113
Amount: $69,985.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2010
Solicitation Topic Code: N102-175
Solicitation Number: 2010.2
Small Business Information
Plain Sight Systems Inc
19 Whitney Avenue, New Haven, CT, -
DUNS: 030077908
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Frederick Warner
 Vice President
 (203) 285-8617
Business Contact
 Andreas Coppi
Title: Vice President
Phone: (203) 285-8617
Research Institution
Synthesizing a variety of ideas and algorithms from Machine Learning, Kernel methods, Spectral Graph Theory, Diffusion Geometries, Harmonic Analysis and Signal Processing into a single mathematical framework, we propose a data driven processing toolbox capable of generating bi-hierarchical information organization and prediction (models) essential for analytical data organization. The associated empirical models are also complemented by natural extensions of all quantities measured on the known data to new data. This extension methodology leads to automatic invariant feature or language definitions and to regression and analysis of empirical functions on and off the data. These resulting algorithms yield a powerful system for automatic learning and classification that is essentially data agnostic and requires no specific ab initio knowledge.

* information listed above is at the time of submission.

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government