We describe a new neural network, which can improve the performance of face detection
system. In this paper, we propose a system that combines the Gabor feature and momentum …

Among the various contexts of technological evolution, there is the application of algorithms
in cameras for the detection and identification of people and their utilization in various areas …

Face recognition is one of the most widely used software in the digital world. So far, the
purpose of most methods proposed for the implementation of this software has been to …

Highlights: The traditional way of recording visitor information takes large amount of time
and is prone to fraud. Hence, in this project we propose an automated system using Radio …

The purpose of this report is to examine the combination of an Extreme Learning Machine
(ELM) with the Kernel Method. Kernels lies at the core of Support Vector Machines success …

This article presents the development of an artificial vision system for the recognition of
postures focused on remote modality workers, being a suitable model to work with anyone …

Gender classification demonstrates high accuracy in many previous works. However, it does
not generalize very well in unconstrained settings and environments. Furthermore, many …

Information discovery plays a vital role in the success of various machine learning and data-
driven tasks. In essence, it is a process of exploring useful knowledge from input data …

The use of local facial features is frequently adopted in many Nearest Neighbours (NN)
approaches in face classification. These collections features are then individually classified …