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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