Face recognition: challenges, achievements and future directions

M Hassaballah, S Aly - IET Computer Vision, 2015 - Wiley Online Library
Face recognition has received significant attention because of its numerous applications in
access control, law enforcement, security, surveillance, Internet communication and …

A modified backpropagation learning algorithm with added emotional coefficients

A Khashman - IEEE transactions on neural networks, 2008 - ieeexplore.ieee.org
Much of the research work into artificial intelligence (AI) has been focusing on exploring
various potential applications of intelligent systems with successful results in most cases. In …

Face recognition: Issues, methods and alternative applications

W Wójcik, K Gromaszek… - … , Subspace Projection and …, 2016 - books.google.com
Face recognition, as one of the most successful applications of image analysis, has recently
gained significant attention. It is due to availability of feasible technologies, including mobile …

RETRACTED CHAPTER: A Survey on Face Recognition Using Convolutional Neural Network

M Swapna, YK Sharma, BMG Prasad - Data Engineering and …, 2020 - Springer
Face recognition is an important concept, which has generally considered in the course of
recent decades. Generally image location can be considered as an extraordinary sort of item …

Modeling cognitive and emotional processes: A novel neural network architecture

A Khashman - Neural Networks, 2010 - Elsevier
In our continuous attempts to model natural intelligence and emotions in machine learning,
many research works emerge with different methods that are often driven by engineering …

Research on an olfactory neural system model and its applications based on deep learning

J Zhang, T Tian, S Wang, X Liu, X Shu… - Neural Computing and …, 2020 - Springer
The idea of constructing the biological neural system model as realistic as possible can not
only provide a new artificial neural network (ANN), but also offer an effective object to study …

Residual feature decomposition and multi-task learning-based variation-invariant face recognition

A Haider, G Wu, I Spence, H Wang - Neural Computing and Applications, 2024 - Springer
Facial identity is subject to two primary natural variations: time-dependent (TD) factors such
as age, and time-independent (TID) factors including sex and race. This study aims to …

An Improved Biomimetic Olfactory Model and Its Application in Traffic Sign Recognition

J Zhang, H He, W Li, L Kuang, F Yu, J Zhao - Applied Sciences, 2023 - mdpi.com
In human and other organisms' perception, olfaction plays a vital role, and biomimetic
olfaction models offer a pathway for studying olfaction. The most optimal existing biomimetic …

Handwriting character classification using Freeman's olfactory KIII model

M Obayashi, S Koga, LB Feng, T Kuremoto… - Artificial life and …, 2012 - Springer
KIII model is an olfactory model proposed by WJ Freeman referring to a physiological
structure of mammal's olfactory system. The KIII model has been applied to kinds of pattern …

Intelligent local face recognition

A Khashman - Recent Advances in Face Recognition, 2008 - books.google.com
Our faces are complex objects with features that can vary over time. However, we humans
have a natural ability to recognize faces and identify persons in a glance. Of course, our …