Award
Portfolio Data
Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization
Award Year: 2017
UEI: DGB4YJSKHM25
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Congressional District: 45
Tagged as:
STTR
Phase II
Awarding Agency
DOW
Branch: MDA
Total Award Amount: $999,947
Contract Number: HQ0147-17-C-7111
Agency Tracking Number: B2-2503
Solicitation Topic Code: MDA15-T001
Solicitation Number: 2015.0
Abstract
ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep Learning Neural Network (DNN) methods for sensor fusion, along with Dynamic and Multi-Entity Bayesian Networks (DBNs and MEBNs) for whole-scene and contextual reasoning. Approved for Public Release | 17-MDA-9219 (31 May 17)
Award Schedule
-
2015
Solicitation Year -
2017
Award Year -
August 9, 2017
Award Start Date -
August 9, 2019
Award End Date
Principal Investigator
Name: Rich Wolf
Phone: (949) 716-4290
Email: rwolf@exoanalytic.com
Business Contact
Name: Holly Bertrand
Phone: (949) 716-4290
Email: bertrand@exoanalytic.com
Research Institution
Name: T2I Research
Phone: (541) 829-6000