The likelihood approach used in this paper leads to quadratic discriminant functions. Classification into one of two known multivariate normal populations with a and unknown covariance matrix are separately considered, where the cases depend on sample size an squared Mahalanobis distance. Their exact distributions complicated obtain. Therefore, moments for based functions established express ba...

Time-frequency based methods, particularly quadratic (Cohen's-class) representations, are often considered for detection in applications ranging from sonar to machine monitoring. We propose a method of obtaining near-optimal quadratic detectors directly from training data using Fisher's optimal linear discriminant to design a quadratic detector. This detector is optimal in terms of Fisher's sca...

In this paper, we focus on the new model selection procedure of the discriminant analysis. Combining resampling technique with k-fold cross validation, we develop a k-fold cross validation for small sample method. By this breakthrough, we obtain the mean error rate in the validation samples (M2) and the 95% confidence interval (CI) of discriminant coefficient. Moreover, we propose the model sel...

In this paper, combined features of global and time-sequence were used as the characteristic parameters for speech emotional recognition. A new method based on formula of MMD (Modified Mahalanobis Distance) was proposed to decrease the estimated errors and simplify the calculation. Four emotions including happiness, anger, surprise and sadness are considered in the paper. 1000 recognizing sente...

Background: Various studies have documented age-related changes in cognitive abilities and neural basis. Objectives: To investigate the role of neuropsychological function tests in predicting amnestic mild cognitive impairment in the elderly. Materials & Methods: In this cross-sectional study with a correlational design, the study population included elderly people over 60 years old residing ...

Polarimetric synthetic aperture radar (PolSAR) is widely used in remote sensing and has important applications the detection of ships. Although many polarimetric detectors have been proposed, they are not well combined. Recently, a optimization filter (PDOF) was which performs most environments. In this study, novel subspace form PDOF [strict (SPDOF)] further developed based on Cauchy inequalit...