Cardiovascular diseases, which significantly affect the heart and blood vessels, are one of
the leading causes of death worldwide. Early diagnosis and treatment of these diseases …

Fisher's linear discriminant analysis (FLDA) is known as a method to find a discriminative
feature space for multi-class classification. As a theory of extending FLDA to an ultimate …

Working children have some impacts that befall them. They are hampered by access to
education, exploited in working hours and even experience the two impacts at the same …

The mission of the 45th Weather Squadron (45 WS) is to “exploit the weather to assure safe
access to air and space” for Patrick Air Force Base, Cape Canaveral Air Force Station …

Recently the kernel discriminant analysis (KDA) has been successfully applied in many
applications. KDA is one of the nonlinear extensions of Linear Discriminant Analysis (LDA) …

The Bayesian a posterior probability is a very important element in pattern recognition. In
classification problems, the posterior probabilities reflect the uncertainty of assessing an …

Linear discriminant analysis (LDA) is one of the supervised classification techniques to deal
with relationship between a categorical variable and a set of continuous variables. The main …

Linear discriminant analysis (LDA) is a well-known method to extract efficient features for
multi-class classification. Otsu derived the optimal (ultimate) non-linear discriminant analysis …

For object detection, large-scale databases obtained via an in-vehicle camera have been
proposed. The databases are generally used to evaluate object detection methods and/or to …

In this paper, first we present A Matlab toolbox which gives the possibility to simulate the
data for testing the algorithms such as: Principal Component Analysis (PCA), Factor Analysis …