Article

Input Bias Correction in Gaussian Process Regression

To address input bias in GP regression caused by mobile sensor pose estimation errors, a bias-aware Gaussian process (Ba-GP) framework is proposed. It uses the recorded GP posterior-mean gradient to propagate input bias and noise into mean and covariance corrections, and provides a numerically efficient first-order correction algorithm based on the additive covariance structure.

Part of the event: Ba-GP Corrects Gaussian Process Input Bias

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