Data-Free/Data-Sparse Softmax Parameter Estimation with Structured Class Geometries

IEEE Signal Processing Letters, pp. 1408-1412, 2018.

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Abstract:

This note considers softmax parameter estimation when little/no labeled training data is available, but a priori information about the relative geometry of class label log-odds boundaries is available. It is shown that “data-free” softmax model synthesis corresponds to solving a linear system of parameter equations, wherein desired domina...More

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