Joint image representation and classification in random semantic spaces
We jointly consider image representation and classification in unified framework. Images are randomly selected for semantic space construction by training classifiers. We use random semantic spaces for image representation and class prediction. We achieve the state-of-the-art performance on several public datasets.
image representation semantic space image classification random sampling sparse representation