no code implementations • 5 Mar 2021 • Davood Karimi, Rabab K. Ward
The proposed algorithm exploits the self-similarity and smoothness of the sinogram.
no code implementations • 30 Dec 2016 • Fahime Sheikhzadeh, Martial Guillaud, Rabab K. Ward
The trained CNN is then extended to an FCN that generates a map of all biomarkers in the whole slide image acquired by the scanner (instead of classifying every cell image).
no code implementations • 13 Nov 2013 • Hamid Palangi, Li Deng, Rabab K. Ward
In this paper, we devise a special technique that take advantage of this linearity in the output units of an ESN, to learn the input and recurrent matrices.
no code implementations • 12 Jun 2013 • Tanaya Guha, Ehsan Nezhadarya, Rabab K. Ward
This sparse strategy is employed because it is known to generate basis vectors that are qualitatively similar to the receptive field of the simple cells present in the mammalian primary visual cortex.
no code implementations • 12 Jun 2012 • Tanaya Guha, Rabab K. Ward
This paper proposes a sparse representation-based approach to encode the information content of an image using information from the other image, and uses the compactness (sparsity) of the representation as a measure of its compressibility (how much can the image be compressed) with respect to the other image.