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Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification
We present a novel approach that combines the eigenanalysis of a covariance matrix evaluated on a training set with a Hessian matrix evaluated on a deep learning model to achieve optimal class separability in binary classification tasks.
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