The Sparse Inverse Covariance Estimation problem arises in many statistical applications in Machine Learning and Signal Processing. In this problem, the inverse of the covariance matrix of a multivariate normal distribution is estimated, assuming that it is sparse. An I-1 regularized log-determinant.....
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Almost every application for manipulating and improving photographic images, such as noise reduction and detail enhancement, relies on scale separation.Linear translation-invariant (LTI) filtering is the classic and efficient method for achieving scale separation; however the method generates visual.....
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Neuropathic Gauchers (nGD), is a rare but very severe manifestation of the disease, with a varying degree of involvement of the central nervous system, in addition to systemic symptoms. As of today, there is no cure for these severe conditions.The search for such cure is tremendously hindered by th.....
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Despite their widespread use and application, the preparation of tailor-made ligand complexes with existing technology is laborious and does not allow for rapid, simple synthesis. These methods are unable to allow monomeric counterparts to be selectively coupled to form a pincer-type ligand frame wh.....
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