Sentence examples for synthetic training from inspiring English sources
Luis de Florez, the head of the Navy's synthetic training devices, a collection of complicated machines that stimulate the conditions of aerial combat.
He suggests that the approach could also be used to help render realistic settings for virtual reality, or to provide synthetic training data for autonomous vehicles or robots.
High-order cumulants are calculated on two- and three-dimensional synthetic training images so as to elaborate on their characteristics.
To reduce data collection time, I propose to generate synthetic training datasets of millions of 3D point clouds and robot grasps using geometric models of grasp success and image formation.
Whilst there are common issues between AR and VR applications in considering the potential of synthetic training environments, it is also necessary to address particular human-centred design issues within each application domain.
Plus, it can make clips combining disparate concepts from training data, such as "sailing on snow". Why it matters: Automatic generation of video from text could be incredibly useful for creating huge sets of synthetic training data for autonomous cars, say.
During one simulation test, multi-echo CPMG sequence activation is designed firstly, echo trains of the ideal fluid models are synthesized, then an inversion algorithm is carried on these synthetic echo trains, and finally T2 T1 D map is built.
They're real 3.8-ounce synthetic-leather training gloves, with straps for the Wii remote in range of the Wii's sensor.
Thus, in order to find the best working conditions, i.e., the set of parameters which maximize the AUC, we tested such methods on the synthetic spike trains generated by a particular realization of the EI model.
To achieve this goal, we built synthetic spike trains originated by the simulations of neuronal network models made up of spatially distributed and synaptically connected neurons (described by the Izhikevich equations [25]), and we represented the topology of these neuronal network models by a Synaptic Weight Matrix (SWM).
They also say that the fatality rates seem to be higher on synthetic surfaces during training, possibly because training takes place in the mornings and the properties of a synthetic track may change with temperature and humidity.
