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New SVM Hierarchical Classifier Fusion

Award Information

Department of Defense
Award ID:
Program Year/Program:
2003 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Migma Systems Inc.
1600 Providence Highway Walpole, MA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2003
Title: New SVM Hierarchical Classifier Fusion
Agency / Branch: DOD / ARMY
Contract: DAAD1903C0102
Award Amount: $99,997.00


This proposal is aimed at the investigation, development and implementation of a hierarchical multi-class target classification system suitable for dynamically changing conditions in the battle field. New support vector representation and discriminationmachine (SVRDM) classifiers are proposed. Each classifier is a separate classifier that distinguishes one class from all of the rest. This architecture involves a tree structure of C-1 classifiers rather than a single layer set of C-1 classifiers. Ourproposed approach uses only a subset of classifiers in any application in traversing a path to a bottom decision node. Thus, the number of required calculations is reduced and the classification results are greatly improved. The multiple classifiers arefurther fused via the statistical decision theory for robust performance of overall classification. Moreover, our new SVRDM has the ability to reject non-object inputs. This feature is incorporated into the hierarchical system with the classifier at eachnode. Since the classes being separated by each classifier are different, we propose to use different features at the different levels and in the different classifiers of the hierarchy. If successful, this project would make a profound impact on the designand development of the next generation ATR systems found in military applications. Our innovative multi-class classification system developed in Phase I and II has a great potential for commercial success. The immediate market will be the defense industryin the United States. Our core technologies can also be applied to medical institutions for disease diagnosis, process monitoring, weather monitoring, air traffic control monitoring, pollution monitoring, natural disaster assessment and natural resourcemanagement.

Principal Investigator:

Bo Ling
President & CEO

Business Contact:

Bo Ling
President & CEO
Small Business Information at Submission:

Migma Systems, Inc.
1600 Providence Highway, Suite 211 Walpole, MA 02081

EIN/Tax ID: 460488542
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
ECE Department
Pittsburgh, PA 15213
Contact: David P. Casasent
Contact Phone: (412) 268-2464
RI Type: Nonprofit college or university