Distributed Hypothesis Testing Using Local Learning Based Classifiers

In this paper we propose a novel approach to distributed detection using learning-based local classifiers and likelihood ratio test (LRT) based fusion center. Local detector's soft outputs are not restricted to have any probabilistic meaning, so even pure discriminative training method can be used. ... View More