Each action is represented by a probability distribution on spatio-temporal features.
A very important system in the pathway leading to business action is represented by the business processes that are properly trained to turn the decision information into action.
As share coefficients of poses are expressed as attributes assigned to graph nodes, their change corresponding to a subject's action is represented by flow in graph edges.
The horizontal seismic action is represented by the elastic response spectrum Type 1 (Ms >5.5, EC-8 §3.2.2.2 where Ms is the surface-wave magnitude).
An action is represented as a string, where each symbol composing it is associated to an aclet, that is an atomic unit of the action encoding a feature vector extracted from raw data.
The current work tested whether the movement of a non-biological rectangular object, believed to be based on a human action is represented within the observer's motor system.
The action is represented in a low dimensional (15D) space using a covariance descriptor of shape and motion features – spatio-temporal coordinates and optical flow of pixels belonging to extracted silhouettes.
However, the CMT is unable to account for agency without execution of an action, as in mental imagery, in which an action is represented by the motor system, without being executed [10], [11].
Different substances, each with a specific mode of action, are represented within this class.
Examples of this action are represented by fibronectin, vitronectin, collagens and proteoglycans, which bind FGFs, HGFs, VEGFs, BMPs and TGF-β.
