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This paper presents an improved version of a recent state-of-the-art texture descriptor called Gaussians of Local Descriptors (GOLD), which is based on a multivariate Gaussian that models the local feature distribution that describes the original image. The full rank covariance matrix, which lies on a Riemannian manifold, is projected on the tangent Euclidean space and concatenated to the mean vector...
This paper focuses on induced pluripotent stem cell (iPSC) colony image classification using machine learning methods and different feature sets obtained from the intensity histograms. Intensity histograms are obtained from the whole iPSC colony images and as a baseline for it they are determined only from the iPSC colony area of images. Furthermore, we apply to both of the datasets two simple feature...
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