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Few Tracks with Dirty Data
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Now we want to view total tour (track) as a single entity and use either annealing or elastic net methods?
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Kalman filter fails as it uses information incrementally - adds one time slice to previous local track
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c2 gets stuck in a local minimum - need concept of temperature to avoid false minima
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Neural networks inefficient as too much redundancy
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Deterministic Annealing (elastic net) is a good possibility
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Rose has tested this
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Note in tracking, tracks are attracted to measurements;
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in navigation, vehicles are repelled from obstacles, otherwise identical
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