Abstract: Automatic Modulation Open Set Recognition (AMOSR) has practical significance in detecting unknown classes. However, a challenge arises when unknown samples closely resemble known samples, ...
Abstract: This paper proposes an improved linear discriminant analysis called spectrally-corrected and regularized LDA (SRLDA). This approach incorporates design principles from both the ...
An exploratory principal components factor analysis and discriminant function analysis was applied. RESULTS Factor analysis showed four robust and meaningful symptom clusters: factor 1—stereotypic and ...
It is noteworthy that discriminant analysis correctly classified 78.9% of bugles according to the stag's status. 'The vocalisations can convey information not only about the individual caller but also ...