IEEE

Orthogonal Rational Basis Function-based Discriminant Analysis for Hyperspectral Image Classification

Abstract: This paper presents a nonlinear discriminant analysis (NDA) method based on an orthogonal rational function (ORF) system for the classification of hyperspectral images (HSI). The proposed ...
The New York Times

Paris Paralympics 2024: How the classification system works

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...
IEEE

Multimedia Classification via Tensor Linear Discriminant Analysis

Abstract: Linear discriminant analysis (LDA) is a well-known feature-extraction technique for data analytic and pattern classification. As the dimensionality of multimedia data has increased in this ...
C&EN

Partial Least Squares-Discriminant Analysis Classification for Patchouli Oil Adulteration Detection by Fourier Transform Infrared Spectroscopy in Combination with Chemometrics

Graduate School of Mathematics and Applied Sciences, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, ...
Scientific Research Publishing

Classification of Stateless People through a Robust Nonparametric Kernel Discriminant Function ()

Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya. Nationality acts as the linkage between a citizen and the international system ...
Frontiers

Sequential feature selection for power system event classification utilizing wide-area PMU data

The increasing penetration of intermittent, non-synchronous generation has led to a reduction in total power system inertia. Low inertia systems are more sensitive to sudden changes and more ...
Scientific Research Publishing

Robust Classification through a Nonparametric Kernel Discriminant Analysis ()

The problem of classification in situations where the assumption of normality in the data is violated, and there are non-linear clustered structures in the dataset is addressed. A robust nonparametric ...
GitHub

Volumetric Texture Segmentation by Discriminant Feature Selection and Multiresolution Classification.

Test data, Matlab code and data sets and user manuals Reyes-Aldasoro, C.C., and A. Bhalerao, Volumetric Texture Segmentation by Discriminant Feature Selection and Multiresolution Classification, IEEE ...