SBIR/STTR Research Award
ENHANCING MOTION IMAGERY CLASSIFIERS BY PRINCIPAL COMPONENT FEATURE CLUSTERING
Award amount
$3,678,922Program and phase
STTR · Phase IIAward year
2016Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- LONGSHORTWAY INC.
- Proposal award date
- 2016-08-23
- Contract end date
- 2018-11-23
- UEI
- FKVNWJXKWMH3
- Solicitation number
- 15.A
- Topic code
- AF15-AT35
Research abstract
LongShortWay Inc. and Northeastern University propose a family of feature reduction and ensemble classifier methods based on Principal Component and Dynamic Logic feature clustering algorithms. New methods combine feature clustering with non-linear feature reduction via manifold learning, and bagging, boosting, and stacking ensemble algorithms.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Domain Adaptation via Classifier Fusion
- Enhancement of Cross Validation using Hybrid Visual and Analytical Means with Shannon Function
- Domain Adaptation via Classifier Fusion
- Near Real Time Learning Counter UAS system
- Wide Area Sensor Fusion
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Imagery
- Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Ima
- Enhancing Motion Imagery Classifiers By Principal Component Feature Clustering
Research funding history
13 SBIR/STTR records share this UEI (2005–2022). Reported award amounts total $8,943,373. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense