Sentence examples for dataset capturing from inspiring English sources

Exact(4)

To gather meaningful performance data, we must firstly determine the requirements for the dataset capturing.

The same as in the first experiment, we must firstly determine the requirements for the dataset capturing.

By using this high content cross-validation based approach we are providing a large and reliable dataset capturing the EGF-dependent transcriptome in HeLa cells.

A further 16,548 reads in MCF-10a and 23,540 in MCF-7 mapped to this dataset, capturing 11,725 and 16,850 novel junctions respectively (1,795 in both cell lines).

Similar(56)

The contribution of this paper is an affective-interaction dataset captured while users were playing a game that reacted to their facial-expressions.

Fig. 2 The Mocap-Face dataset, captured by 40 markers attached to the face of the subject in the left image, 316 frames in total [9].

The proposed audio segmentation system is trained on a dataset recorded in a particular acoustic environment and may not necessarily be able to generalize for a dataset captured in a different acoustic environment.

The queries' part contains 115 additional images of lower resolution, depicting some of the buildings of the main dataset captured from a different viewpoint and sometimes under different weather conditions.

Specifically, we construct a new Infrared Action Recognition (InfAR) dataset captured at different times, including in summer and winter, and explore how discriminable actions in our InfAR dataset are with the state-of-the-art pipelines based on low-level features and deep convolutional neural network (CNN), respectively.

The proposed method is shown to produce reliable visual odometry even for longer trajectories of several kilometers, and its accuracy compares favorably to the monocular instance of the eight-point solver of Geiger et al. [24], both on the public KITTI dataset [25] and on a 15-km dataset captured locally with the GrontMij mobile mapping vehicle.

The proposed method was successfully applied to the pedestrian unsafe behavior (PUB) dataset captured from far-infrared camera at night and its behavior recognition accuracy is confirmed to be higher than that of some algorithms related to CNNs, with a shorter processing time.

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