Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...
ABSTRACT: In computer vision and graphics applications, the precise representation of 3D faces is of critical importance. This paper proposes a novel 3D deformable face model that learns complex ...
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