As in the case of other sampled objects, samplers must be made of a material which does not interact with sample components.
Additionally, for all tasks there were no effects of lesion group on the length of time it took to complete the sample phase, meaning that the groups had comparable lengths of exposure to the sampled objects.
A random object process (ROP) is constructed by randomly sampling objects from (mathcal {O}) and placing their corresponding center points at the points of some point process (PP).
Secondly, the method chose some sample objects and adopted the decision tree algorithm C5.0 to mine the landslide forecast criteria according to the factor values of each sample object.
Figure 4 Sparse solutions of binary classifier for test samples: object (a), background (b), and outlier (c).
The proposed 3D circle detection method was tested by performing the experiment for locating the center and measuring the radius of circular holes on a sample object.
So in high DG penetration system, we adopt the system state transition sampling method, the sample object is the system state instead of the state of each component, thus simplifying the simulation work.
Subjects were instructed to watch a sample display, compare a test object with the sample object in the same location, and respond by clicking on icons using the mouse.
In this experiment, subjects viewed a sample display comprising 3 three-attribute objects, and after a brief delay, compared a test object with the sample object for shape, color, and direction of motion in the same location (Figure 3A, see also Video S2).
Because of rodents' innate preference toward novelty, a D2>0, which suggests a preference toward exploring the novel object, is thought to reflect a memory for the sample object.
