Sentence examples for datasets of objects from inspiring English sources

We present a new data visualization approach (QAPgrid) that reveals patterns of similarities and differences in large datasets of objects for which a similarity measure can be computed.

Second, to create a dataset of objects using a SwissRanger ToF camera [49] and an electronic device to measure pose changes.

A new dataset of objects from a SwissRanger Time-of-Flight camera has been created for experimenting object classification and applied some of the best of the machine learning methods and neural networks with hyper-parameter tuning.

The task fell to ScanLAB Projects, who use 3D scanning technology to create "millimetre perfect 3D dataset of objects, buildings and landscapes". and for this project they recorded an immense amount of data: "Two billion precise laser measurements were recorded from 275 laser scans of the galleries" the museum website states, with the aim being to release the raw data set publicly later this year.

The effectiveness of the proposed approach was examined for the Haxby's dataset of object-level representations.

These provide 3D datasets of palaeontological objects and involve both surface and volume scanning methods (e.g. microtomography).

Again we have used the RandomRBFGenerator to create a 10-dimensional dataset of 30,000 objects forming 5 drifting clusters with different and varying densities and sizes.

In our tests aforementioned data processing method resulted in more than 90% correctly selected movements (compared to healthy grasping) based on the generalized dataset of 25 objects in several different orientations.

To our knowledge, the first normative dataset of photos of objects was made by Viggiano and colleagues [65] in 2004.

The proposed pipeline guarantees a highly reliable alignment of dense range image datasets on a variety of objects in few seconds per million of points.

We rendered five datasets of the same object Sphere with various sizes of highlight area (Fig. 14, top row) and tested how the size of the specular region affects the performance of our sparse regression methods.