Person re-identification is an important technique towards automatic search of a person's
presence in a surveillance video. Two fundamental problems are critical for person re …

This paper analyzes the classification of hyperspectral remote sensing images with linear
discriminant analysis (LDA) in the presence of a small ratio between the number of training …

Remote sensing hyperspectral sensors are important and powerful instruments for
addressing classification problems in complex forest scenarios, as they allow one a detailed …

Many biometric applications such as face recognition involve data with a large number of
features [1–3]. Analysis of such data is challenging due to the curse-ofdimensionality [4, 5] …

Heterogeneous face images come from different lighting conditions or different imaging
devices, such as visible light (VIS) and near infrared (NIR) based. Because heterogeneous …

Edited by a panel of experts, this book fills a gap in the existing literature by
comprehensively covering system, processing, and application aspects of biometrics, based …

The present study explores if EEG spectral parameters can discriminate between healthy
elderly controls (HC), Alzheimer's disease (AD) and vascular dementia (VaD) using. We …

Linear discriminant analysis (LDA) is one of the most popular methods of classification. For
high-dimensional microarray data classification, due to the small number of samples and …

The most popular features used in speech emotion recognition are prosody and spectral.
However the performance of the system degrades substantially, when these acoustic …

Background Automated classification using machine learning often relies on features
derived from segmenting individual objects, which can be difficult to automate. WND …