For example, if the object space D is R, the distance is defined as the L n distance of two real functions.
For example, if the objects were a triangle, a square, and a pentagon, then the rule would be an increase in the number of sides that form the objects.
In particular, it would seem that if we construct the mathematical objects, for example, if the mathematical objects are mental constructions of some kind, then resorting to impredicative definitions would produce an undesirable form of circularity.
For example if the Euclidean distances of a group of objects from a reference object range from 5 to 8, their Euclidean similarities to the reference object will range from 1/9 to 1/6.
For example, if the angle of elevation was 35º, and your distance from the object was 45 units, the object's height equals 45 x tangent 35º), or 31.5 units.
In practice, when T h can not work well for a specific image, for example, if the pruned {H} has no object candidates or much more object candidates than common amount, then we adjust the number of candidates experimentally.
For example, if the task only requires to determine the color of an object, state-of-the-art models nevertheless will run a classifier and store a full-fledged representation of the object as they are built on static processing pathways.
For example, if the string crosses the rim at 60º, the angle of elevation between you and the top of the object is 90 60=30º.
For example, if the local models are support vector machines, the predictions for objects far away from the separating hyperplane are more likely correct than those for objects falling in the margin.
