KALMANSAC: Robust filtering by consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximum-likelihood) solution has doubly exponential complexity due to the combinatorial explosion of possible choices of inliers, we exploit the s...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2005
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