Abstract: Bias in data collection for machine learning entails complexity in the fairness of the forecast and the efficiency of the model. This occurs especially when data is biased, gathered from ...
Abstract: Autonomous mobile robots operating in novel environments depend critically on accurate state estimation, often utilizing visual and inertial measurements. Recent work has shown that an ...
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