The Modified Quadratic Discriminant Function was first proposed by Kimura et al to improve the performance of Quadratic Discriminant Function, which can be seen as a dot-product method by eigen-decompostion of the covariance matrix of each class. Therefore, it is possible to expand MQDF to high dimension space by kernel trick. This paper presents a new kernel-based method to pattern recognition...

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...

EEG spectral analyses were conducted from 19 scalp locations for patients with mild (n=40), moderate (n=25), and severe (n=43) traumatic brain injury (TBI), 15 days to 4 years after injury. Severity of TBI was judged by emergency hospital admission records (Glasgow Coma Score and duration of coma and amnesia). Highest-loading EEG variables on each factor that differed significantly between seve...

We introduce functional logistic discriminant analysis (FLDA) which is an extension of the classical method of logistic discriminant analysis to data where predictor variables are functions or curves. FLDA approach can effectively classify functions into two distinct classes by imposing smoothness constraint on the predictor functions and coefficient function by radial basis function expansion ...

the purpose of this research is to detect manipulation of stock prices in tehran stock exchange that it has been done through hybrid genetic algorithm-artificial neural network (ann-ga) model and the simplified quadratic discriminant function (sqdf) model. in this study, the variables of price, trading volume and free float stock to match the results of the model and the actual data of price ma...

When multiple microphones are available estimates of inter-channel delay, which characterise a speaker’s location, can be used as features for speaker diarization. Background noise and reverberation can, however, lead to noisy features and poor performance. To ameliorate these problems, this paper presents a new approach to the discriminant analysis of delay features for speaker diarization. Th...

A study of speaker-distinguishing properties of the formant dynamics of /uː/ is presented. Measurements at equidistant intervals along the F1 and F2 contours of /uː/ are compared with polynomial characterisations of the contours. Approximating the contours with quadratic and cubic polynomials allows more speaker-distinguishing information to be conveyed with fewer parameters. Based on discrimin...