首页|Investigators at McGill University Report Findings in Robotics and Automation (A Hessian for Gaussian Mixture Likelihoods In Nonlinear Least Squares)
Investigators at McGill University Report Findings in Robotics and Automation (A Hessian for Gaussian Mixture Likelihoods In Nonlinear Least Squares)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news originating from Montreal, C anada, by NewsRx correspondents, research stated, “This letterproposes a novel Hessian approximation for Maximum a Posteriori estimation problems in robotics i nvolvingGaussian mixture likelihoods. Previous approaches manipulate the Gaussi an mixture likelihood into a formthat allows the problem to be represented as a nonlinear least squares (NLS) problem.”
MontrealCanadaNorth and Central Amer icaRobotics and AutomationRoboticsMcGill University
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