Add to ORKGThe problem of statistical classification of multivariate normal (Gaussian) observations in the subspace of informative features is studied. The iterative stepwise method for non-informative feature rejection is proposed and efficiency of transition to the selected features is analytically investigated
This study investigates the area of feature extraction for statistical pattern recognition. The redu...
The aim of this paper is to discuss about various feature selection algorithms applied on different ...
Includes bibliographical references (leaves 79-81)The discrimination problem of classifying an nxl o...
The problem of statistical classification of multivariate normal (Gaussian) observations in the subs...
The problem of reducing the dimensionality in statistical classification is studied. The case of the...
The problem of reducing the dimensionality in statistical classification is studied. The case of the...
We consider the problem of both supervised and unsuper-vised classification for multidimensional dat...
Abstract: The paper gives an overview of feature se-lection (abbreviated FS in the sequel) technique...
AbstractIn normal classification analysis, there may be cases where the population distributions are...
We introduce a new discriminant analysis method (Empirical Discriminant Analysis or EDA) for binary ...
We give a brief overview of feature selection methods used in statistical classification. We cover f...
This thesis introduces new algorithms for analysis and classification of multivariate data. Statisti...
This thesis introduces new algorithms for analysis and classification of multivariate data. Statisti...
Linear procedures for classifying an observation as coming from one of two multivariate normal distr...
We concentrate our research activities on the multivariate feature selection, which is one important...
This study investigates the area of feature extraction for statistical pattern recognition. The redu...
The aim of this paper is to discuss about various feature selection algorithms applied on different ...
Includes bibliographical references (leaves 79-81)The discrimination problem of classifying an nxl o...
The problem of statistical classification of multivariate normal (Gaussian) observations in the subs...
The problem of reducing the dimensionality in statistical classification is studied. The case of the...
The problem of reducing the dimensionality in statistical classification is studied. The case of the...
We consider the problem of both supervised and unsuper-vised classification for multidimensional dat...
Abstract: The paper gives an overview of feature se-lection (abbreviated FS in the sequel) technique...
AbstractIn normal classification analysis, there may be cases where the population distributions are...
We introduce a new discriminant analysis method (Empirical Discriminant Analysis or EDA) for binary ...
We give a brief overview of feature selection methods used in statistical classification. We cover f...
This thesis introduces new algorithms for analysis and classification of multivariate data. Statisti...
This thesis introduces new algorithms for analysis and classification of multivariate data. Statisti...
Linear procedures for classifying an observation as coming from one of two multivariate normal distr...
We concentrate our research activities on the multivariate feature selection, which is one important...
This study investigates the area of feature extraction for statistical pattern recognition. The redu...
The aim of this paper is to discuss about various feature selection algorithms applied on different ...
Includes bibliographical references (leaves 79-81)The discrimination problem of classifying an nxl o...