On the optimal linear feature (Corresp.)
Demetrios Kazakos · IEEE Transactions on Information Theory · 1978
The problem of finding the linear scalar feature that minimizes the probability of error in discriminating between two Gaussian multivariate hypotheses is comidered. A one-dimensional search algorithm to solve this problem is given, improving upon a previous multidimentional theorem.