Ai Feedback
Exact(60)
The conditions for feasible multi-scan target existence events are: ᅟ (1) Target exists at all scans k τ in the smoothing interval, where 1≤r≤N.
E The set of supertargets originated from track τ. p 1,1 The probability of target existence at time k given that it exists at time k−1.
Here p 1,1 is the probability of target existence at time k given that it exists at time k−1 [21], and (P chi _{k}^{tau } (s - 1)|{mathbf {Z}^{k}})) is the posterior probability of target existence with respect to illuminator s−1.
The target existence state is also smoothed at fixed lag N using all feasible multi-scan target existence events in the smoothing interval.
In the smoothing interval, there are N+1 feasible multi-scan target existence events.
These conditions considers N+1 feasible multi-scan target existence events in the smoothing interval.
where p 1,1 is the fIPDA target existence transition probability [5].
Thereafter, the target existence probability is estimated based on the comparison of two saliency depth values.
The updated FLIPDA-S probability of target existence is used to confirm and terminate tracks.
where (p_{1,1}^{b}) is the bIPDA target existence transition probability [5].
FLIPDA-S provides the probability of target existence as a track quality measure.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com