This paper provides an applicable way to realize the SD algorithm. We recast SD in a probability-space framework and present a concrete statistical realization of SD for two-class pattern recognition.

To solve the sparse estimation problem, we introduce an optimization algorithm. Under some conditions, we show the algorithmic and statistical convergence property for the coefficients obtained by the ...

The algorithm’s capacity for pattern recognition surpassed human ability to accurately detect the same patterns.