Randomized tensor-based algorithm for image classification

We present a method for the image classification problem. First, the set of images is organized in a tensor format. Then, we define several classes in terms of subtensors of the same type of images. The method relies on the tensor dimensionality reduction algorithm to create the basis of the subtensor. Our algorithm was tested on the AT&T database of faces. From our experiments, the algorithm successfully classifies unknown images from the measured residual.