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Found 5 papers, 0 papers with code
Interpolation of CT Projections by Exploiting Their Self-Similarity and Smoothness
The proposed algorithm exploits the self-similarity and smoothness of the sinogram.
Automatic labeling of molecular biomarkers of whole slide immunohistochemistry images using fully convolutional networks
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).
Learning Input and Recurrent Weight Matrices in Echo State Networks
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.
Sparse Representation-based Image Quality Assessment
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.
Image Similarity Using Sparse Representation and Compression Distance
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.
