Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Principal component analysis (PCA) is often applied for analyzing data in the most diverse
areas. This work reports, in an accessible and integrated manner, several theoretical and …

Extraction of discriminative features from salient facial patches plays a vital role in effective
facial expression recognition. The accurate detection of facial landmarks improves the …

In recent years, a variety of nonlinear dimensionality reduction techniques have been
proposed that aim to address the limitations of traditional techniques such as PCA. The …

With the rapid growth in the volume of relevant and available data, feature engineering is
emerging as a popular research subject in data-driven building energy prediction owing to …

In recent years, a variety of nonlinear dimensionality reduction techniques have been
proposed that aim to address the limitations of traditional techniques such as PCA and …

The access security of wireless devices is a serious challenge in present wireless network
security. Radio frequency (RF) fingerprint recognition technology as an important non …

Exquisite demand exists for customizing the pretrained large text-to-image model, $\textit
{eg} $, Stable Diffusion, to generate innovative concepts, such as the users themselves …

Pattern analysis often requires a pre-processing stage for extracting or selecting features in
order to help the classification, prediction, or clustering stage discriminate or represent the …

Transformer is important to the electric power systems, and its accurate fault diagnosis is still
hard. In the paper, a novel transformer fault diagnosis method using an Internet of Things …