Sentence examples for classification of objects from inspiring English sources

The basis of Hume's exposition is a twofold classification of objects of awareness.

In the third, or concrete operational, stage, from age 7 to age 11 or 12, occur the beginning of logic in the child's thought processes and the beginning of the classification of objects by their similarities and differences.

This systematic description and classification of objects by their chronological placement, material, form, process of production, use-life, and pattern of deposition depends upon a host of sophisticated analytic techniques developed to decode the history of these discarded objects, which once held social significance to the human communities in which they were made, used, and valued.

He suggested that totemism, far from being a special stage in human development, was merely an instance of the use, within so-called primitive systems of classification, of objects and categories from the world of everyday experience to divide and order that experience.

These datasets are primarily for image classification of objects and materials.

The automated classification of objects from large catalogs or survey projects is an important task in many astronomical surveys.

Using these mechanisms in a unified architecture we achieve object segmentation in both artificial and real sequences, allowing a further interpretation of the scene properties such as coarse classification of object movement and ordinal depth order.

The no-overlap principle precludes cross-classification of objects into different kinds within a theory's taxonomy.

Such 'taxonomic incommensurability' results in translation failure between local subsets of inter-defined terms due to the cross-classification of objects into mutually exclusive taxonomies.

To answer this question, the classifier system, which marks linguistic classifications of objects, should be the first system to be examined.

Viper has advantages in changing lighting and weather conditions, for instance, where other sensors encounter problems, and it can add another dimension of signal from which to derive classifications of objects – offering more confidence that a pedestrian is a pedestrian, for instance, or that a person on a bike is a person on a bike.