首页|Studies from University of Nebraska at Omaha Yield New Information about Support Vector Machines (Pattern Analysis Using Lower Body Human Walking Data To Identi fy the Gaitprint)
Studies from University of Nebraska at Omaha Yield New Information about Support Vector Machines (Pattern Analysis Using Lower Body Human Walking Data To Identi fy the Gaitprint)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Support Vector Machine s is the subject of a report. According tonews originating from Omaha, Nebraska , by NewsRx correspondents, research stated, “All people have afingerprint that is unique to them and persistent throughout life. Similarly, we propose that pe ople havea gaitprint, a persistent walking pattern that contains unique informa tion about an individual.”Funders for this research include National Science Foundation (NSF), National In stitutes of Health(NIH) - USA, University of Nebraska Collaboration Initiative, Center for Research in Human MovementVariability at the University of Nebraska at Omaha, National Aeronautics & Space Administration (NASA),IAR PA.
OmahaNebraskaUnited StatesNorth an d Central AmericaEmerging TechnologiesMachine LearningPattern AnalysisSu pport Vector MachinesVector MachinesUniversity of Nebraska at Omaha