Your English writing platform
Discover LudwigExact(1)
For each dataset, person measures were generated from an N μCAT, 1.0) distribution, where μCAT = 0.0 or 1.0.
Similar(59)
From each of these datasets, persons with an interRAI assessment completed within 90 days after an ED visit or hospitalization were included (refer to Figure 1).
VIPeR [10] (Viewpoint Invariant Pedestrian Recognition) is a standard dataset for person re-identification problem and is considered as one of the most difficult datasets.
Note that in this paper we assume that, given a dataset, each person is assigned a single trajectory, where a trajectory is a set of GPS points visited by the individual.
Tests include only the healthy subjects: the results are presented in Table 2 for ILSA test dataset (49 persons) and Table 4 for PTB test dataset (14 persons).
In order to evaluate the robustness of our method against expression variations, we classified 1,648 faces with expression as the non-neutral dataset (411 persons), while 2,359 neutral faces as the neutral dataset (422 persons).
Recall that in these datasets each person is mapped to a single trajectory.
We use off-the-shelf features and test our method on popular benchmark datasets for person re-identification.
For this purpose, we have performed experiments on Cohn Kanade (CK) [82] and CK+ [103] datasets, where person independent 10-fold cross-validation testing is considered.
This study used methods to link state motor vehicle crash records with emergency department and inpatient discharge records, resulting in a uniquely rich dataset with person-level medical outcomes and crash details, including helmet usage.
We used the RBDM death data to serve as a proxy for the HACC MDS as both datasets are person based and share a similar age structure.
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