Sentence examples for image categorization from inspiring English sources

For image categorization task, the subjects were required to categorize photographs of natural scenes by answering whether or not they contained animals.

(b) Instantaneous natural image categorization: the task required the observer to categorize photographs of natural scenes (3°×3° size) by answering whether or not they contained animals.

We defined the field of attention (FA) for instantaneous image categorization as the visual space within which the observers can rapidly categorize objects with accuracy above the chance level (55 60%).

It was also shown that the color plays an important role in image categorization for humans.

In this letter, we consider improving the image categorization performance by exploiting multiple local descriptors on the image.

Finally, authors in [38] use cluster correlograms to combine MPEG-7 descriptors with spatial information, for image categorization.

For experimental evaluations, our method is compared with two recently proposed methods on containers X-Ray images categorization.

Since SVM is able to handle large feature spaces, it has been successfully used in solving many real world problems such as text categorization, image classification, protein analysis, cancer data classification, and hand-writing recognition [ 39].

Although the community has spent a lot of effort on image-categorization classification [1 4], which leads to very powerful intermediate representation of images such as the bag-of-feature (BoF) model [5, 6], it still has some space to improve the recognition performance in some specific recognition applications such as texture, food image, and biomedical data.

By measuring the accuracy rate over the field, we were able to determine the spatial extent and the sensitivity distribution of the FA for the letter discrimination and for image-categorization tasks.

The problem of training autoencoders (with logistic regression as the classification layer) on sets of small sizes is considered on the example of image classification and scene categorization tasks.