Exact(20)
Input trajectory is ({{upepsilon }}).
Input trajectory is ε.
Input trajectory is ({ e_{2} }).
This case is when input trajectory is of length 1.
Following scenarios demonstrates the route prediction function R Scenario I:: Input trajectory is ε.
means e3 is predicted edge Scenario V:: Input trajectory is ({ e_{3},e_{4} }).
Similar(40)
Estimate the rank (hat {r}) of the affine space which includes the input trajectories as.
We hierarchically iterate the above procedures until all the input trajectories are not separated.
The symbols circle and multiplication mean that the input trajectories should be separated or not.
One problem is to properly estimate the dimension of the affine space which includes input trajectories.
Dim indicates the estimated dimension of the affine space which includes input trajectories.
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