SBIR/STTR Research Award
Enhancing Motion Imagery Classifiers By Principal Component Feature Clustering
Award amount
$149,993Program and phase
STTR · Phase IAward year
2015Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- LONGSHORTWAY INC.
- Proposal award date
- 2015-06-04
- Contract end date
- 2016-03-04
- UEI
- FKVNWJXKWMH3
- Solicitation number
- 2015.1
- Topic code
- AF15-AT35
Research abstract
ABSTRACT: LongShortWay Inc and NorthEastern University propose new feature clustering methods that improve performance of motion imagery classifiers. Developed algorithms will be demonstrated on AFRL Minor Area Motion Imagery (MAMI) data; BENEFIT: Enhanced classifier performance, robust feature selection
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
- ENHANCING MOTION IMAGERY CLASSIFIERS BY PRINCIPAL COMPONENT FEATURE CLUSTERING
- Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Ima
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