In this paper a simple method of measuring the pulse rate is presented. Elaborated
algorithm allows for efficient pulse rate registration directly from face images captured from a …

Emerging applications of computer vision and pattern recognition in mobile devices and
networked computing require the development of resource-limited algorithms. Linear …

Information theory has proved to be effective for solving many computer vision and pattern
recognition (CVPR) problems (such as image matching, clustering and segmentation …

Detecting event related potentials (ERPs) from single trials is critical to the operation of many
stimulus-driven brain computer interface (BCI) systems. The low strength of the ERP signal …

Imaging photoplethysmography is an emerging technique for the extraction of biometric
information from people using video recordings. The focus is on extracting the cardiac heart …

The outputs of a trained neural network contain much richer information than just an one-hot
classifier. For example, a neural network might give an image of a dog the probability of one …

The literature on independent component analysis (ICA)-based face recognition generally
evaluates its performance using standard principal component analysis (PCA) within two …

The analysis and interpretation of datasets with large number of features and few examples
has remained as a challenging problem in the scientific community, owing to the difficulties …

On the small sample size problems such as appearance-based recognition, empirical
studies have shown that ICA projections have trivial effect on improving the recognition …

This chapter presents a new technique for object recognition using singular value
decomposition and principal component analysis (SVD-PCA). The implementation of …