Übersetzung für "Target class" in Deutsch

Since the feature vector 86 c lies outside the defined regions, it cannot be assigned to a target object class.

Click on your target class.

These signal characteristics make it possible to associate the target with a class of targets, for example, surface vessel, submarine, aircraft carrier, and/or to identify it, for example a frigate of the Bremen class.

The use of the supervised learning process created from a modification of Haken's supervised learning process by setting only the attention parameter of the desired target class to 1 and all the other attention parameters to 0 permits utilizing recognized patterns in order to alter the adjoint prototypes after each learning stage and in this manner easily compensate drifting of the recording parameters, such as e.g., illumination.

When you add a new transition to a state machine diagram that is inside a class or interface, you can use a pull-down list in the Properties window to assign an existing operation from the target class.

Automatic Creation of Operations lets you simultaneously add a new operation in the target class when you create a transition in the communication diagram.

General Metals believes the combined Independence Surface Oxide and Gold Skarn represents a world class target in the world class Battle Mountain Mining District along an indisputable world class gold trend.

The method as claimed in claim 1, wherein the target point property is dependent on a respective target object class, a position of the target point candidate in the image and/or a reflectivity of the respective target object candidate.

In an advantageous further development it can be provided that the evaluation device AE evaluates the assigned target class and/or the overall situation so that the criteria stored in the evaluation unit BE can be modified to further improve the recognition of the overall situation.

The determination or assignment of the target points on the basis of the target objects can be effected in a rule-based manner in this case, that is to say that if a representative of a target object class is found in the image, the target points can be defined as points of intersection of lines or as mid points of circles or ellipses.

These rules for deriving the target points can be assigned to the respective target object class and stored on the measuring device.

Said feature vector can be mapped into the feature space and assigned to a target object class depending on the position in this space.

From a classification of the target object candidates with regard to their association with the candidate set, i.e. whether or not the object detected in the image is a possible target object, alongside the assignment to a target object class an assignment probability can also arise, which describes the quality of the respective assignment.

In particular, the training images can consist of a first set of image excerpts which represent genuine target points and the target point class of which is known, and of a second set of images of similar, but undesired, target points and images of the background of the target points which are assigned to a residue class or non-target-point class.

The feature vectors of all the training images can be converted into a feature space and assume a specific position there in accordance with the features typical of the target object class.