Hyperspectral imaging is a trending technique in remote sensing that finds its application in
many different areas, such as agriculture, mapping, target detection, food quality monitoring …

Research on water quality is a fundamental step in supporting the maintenance of
environmental and human health. The elements involved in water quality analysis are …

We present an approach to feature extraction that is a generalization of the classical linear
discriminant analysis (LDA) on the basis of deep neural networks (DNNs). As for LDA …

Identity recognition faces several challenges especially in extracting an individual's unique
features from biometric modalities and pattern classifications. Electrocardiogram (ECG) …

Identifying optimal features is critical for increasing the overall performance of data
classification. This paper introduces a supervised feature selection technique for analyzing …

The issue of variable selection has been widely investigated for different purposes, such as
clustering, classification or function approximation becoming the focus of many research …

Audio streams, such as news broadcasting, meeting rooms, and special video comprise
sound from an extensive variety of sources. The detection of audio events including speech …

In machine learning and data mining, dimensionality reduction is one of the main tasks.
Linear Discriminant Analysis (LDA) is a widely used supervised dimensionality reduction …

Classifying HEp-2 fluorescence patterns in Indirect Immunofluorescence (IIF) HEp-2 cell
imaging is important for the differential diagnosis of autoimmune diseases. The current …

Thousands of molecular descriptors (1D to 4D) can be generated and used as features to
model quantitative structure–activity or toxicity relationship (QSAR or QSTR) for chemical …