Sentence examples for object categorization from inspiring English sources

These neurons progressively become selective to intermediate complexity visual features appropriate for object categorization.

The object categorization is only scarcely studied using untrained wild ranging animals and relevant stimuli.

We evaluate the proposed method by the PASCAL object categorization task.

We experimentally validate the effectiveness and feasibility of object categorization in cluttered environments.

In this paper, we present a new object categorization method robust to surface markings and background clutters.

To show the effectiveness of D-HMAX, we apply it to object categorization and conduct experiments on the CalTech101, CalTech05, GRAZ01, and GRAZ02 databases.

Finally, extensive comparison experiments on scene categorization, object classification, action recognition and face recognition clearly verify the classification performance of the proposed algorithm.

Experiments were performed for object recognition, text categorization, and sentiment classification.

The factors were Task Type with two levels (object decision vs. categorization) and Category also with two levels (natural objects vs. artefacts).

Experimental evaluations on benchmark RGB-D object and scene categorization datasets show that the proposed technique consistently outperforms state-of-the-art algorithms.

Feature-based approaches are widely used in several application fields such as similarity search, object retrieval and categorization [16 18], shape correspondence and analysis [5, 15].