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Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization

Awardee

EXOANALYTIC SOLUTIONS INC

27042 TOWNE CENTRE DR STE 250
EL TORO, CA, 92610-2811
USA

Award Year: 2017

UEI: DGB4YJSKHM25

HUBZone Owned: No

Woman Owned: No

Socially and Economically Disadvantaged: No

Congressional District: 45

Tagged as:

STTR

Phase II

Seal of the Agency: DOD

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

  1. 2015
    Solicitation Year

  2. 2017
    Award Year

  3. August 9, 2017
    Award Start Date

  4. 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