Sentence examples for object components from inspiring English sources

We suggest that they actually encode the features of object components that comprise complex objects.

We suggest that the dorsal visual stream analyzes objects in terms of a set of multiple affordances and accurately represents the metrics of different object components to provide data essential for grasp affordance extraction (Fig.  6).

We suggest that AIP codes combinations of features of object components and that given a complex object, AIP neurons selective for features of each of its components will be activated.

Some interesting recent work has suggested that the principal role of the perirhinal cortex is in conjoining separate object components into a conjunctive representation (Bussey et al., 2002; Bartko et al., 2007; Saksida et al., 2007) and it may be involved in object-in-place recognition (Barker and Warburton, 2011) although this task has differences to the OP task used here.

In fixed template methods, a face object (component or landmark) is detected if it responds strongly when convolved with the template mask, and the highest scoring point on the face is declared as the target location.

In each generation, layers and modules were implemented according to different paradigms (e.g., object, component, and service oriented) changing their granularity and the transparency degree adopted for encapsulating the functions implemented by each layer.

By analyzing the characteristics of computer-based educational methods and adopting the rapidly changing Internet and object component technologies, we have developed a Web-based, interactive virtual laboratory system for unit operations and process systems engineering education, and validated its effectiveness by surveying student users of the implemented prototype system.

Inputs to the F7 module come from F2, signaling the center of the object component, and AIP, providing an affordance representation.

The model region V6A/MIP represents the shoulder-centered direction and distance of each object component in spherical coordinates as two- and one-dimensional population codes, respectively.

To simplify the model, we include AOS and SOS cells as well as one population that encodes the size of each object component.

This results in F2vr faithfully selecting the center of the object component (as signaled by V6A/MIP) as the position from which to calculate the final target for the wrist using the object-centered reach offset.