Word Count: 47 Manuscript Word Count: 4387 Repeated measures discriminant analysis 2

The basic element in the solution of pattern-recognition problems is the requirement for the ability to recognize membership in classes. This report considers the automatic establishment of decision criteria for measuring membership in classes that are known only from a finite set of samples. Each sample is represented by a point in a suitably chosen, finite-dimensional vector space in which a ...

Objective. The present research was undertaken to study the accuracy and reliability of the craniofacial measurements in sex discrimination through univariate and multivariate discriminant function analysis. Methods. Three hundred adult crania (150 males and 150 females) were measured for ten craniofacial measurements. Univariate and multivariate discriminant functions were formulated for deter...

In two-group discriminant analysis, the Neyman-Pearson Lemma establishes that the ROC curve for an arbitrary linear function is everywhere below the ROC curve for the true likelihood ratio. The weighted area between these two curves can be used as a risk function for finding good discriminant functions. The weight function corresponds to the objective of the analysis, for example to minimize th...

the main focus in this study is on data pre-processing, reduction in number of inputs or input space size reduction the purpose of which is the justified generalization of data set in smaller dimensions without losing the most significant data. in case the input space is large, the most important input variables can be identified from which insignificant variables are eliminated, or a variable ...

This paper describes a method to improve the robustness of a face recognition system based on the combination of two compensating classifiers. The face images are preprocessed by the appearance-based statistical approaches such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). LDA features of the face image are taken as the input of the Radial Basis Function Network ...