A literature survey on kinship verification through facial images

X Qin, D Liu, D Wang - Neurocomputing, 2020 - Elsevier
Kinship verification is an emerging task in computer vision which aims at finding out whether
there is a kin relation between given identities through their facial images. Applications of …

IAN: the individual aggregation network for person search

J Xiao, Y Xie, T Tillo, K Huang, Y Wei, J Feng - Pattern Recognition, 2019 - Elsevier
Person search in real-world scenarios is a new challenging computer version task with
many meaningful applications. The challenge of this task mainly comes from:(1) unavailable …

Prototype-based discriminative feature learning for kinship verification

H Yan, J Lu, X Zhou - IEEE Transactions on cybernetics, 2014 - ieeexplore.ieee.org
In this paper, we propose a new prototype-based discriminative feature learning (PDFL)
method for kinship verification. Unlike most previous kinship verification methods which …

Low-rank discriminant embedding for multiview learning

J Li, Y Wu, J Zhao, K Lu - IEEE transactions on cybernetics, 2016 - ieeexplore.ieee.org
This paper focuses on the specific problem of multiview learning where samples have the
same feature set but different probability distributions, eg, different viewpoints or different …

Learning flexible graph-based semi-supervised embedding

F Dornaika, Y El Traboulsi - IEEE transactions on cybernetics, 2015 - ieeexplore.ieee.org
This paper introduces a graph-based semi-supervised embedding method as well as its
kernelized version for generic classification and recognition tasks. The aim is to combine the …

Facial image encryption for secure face recognition system

E Abusham, B Ibrahim, K Zia, M Rehman - Electronics, 2023 - mdpi.com
A biometric authentication system is more convenient and secure than graphical or textual
passwords when accessing information systems. Unfortunately, biometric authentication …

Variational quantum algorithms for dimensionality reduction and classification

JM Liang, SQ Shen, M Li, L Li - Physical Review A, 2020 - APS
In this work, we present a quantum neighborhood preserving embedding and a quantum
local discriminant embedding for dimensionality reduction and classification. We …

Person reidentification by minimum classification error-based KISS metric learning

D Tao, L Jin, Y Wang, X Li - IEEE transactions on Cybernetics, 2014 - ieeexplore.ieee.org
In recent years, person reidentification has received growing attention with the increasing
popularity of intelligent video surveillance. This is because person reidentification is critical …

Manifold partition discriminant analysis

Y Zhou, S Sun - IEEE transactions on cybernetics, 2016 - ieeexplore.ieee.org
We propose a novel algorithm for supervised dimensionality reduction named manifold
partition discriminant analysis (MPDA). It aims to find a linear embedding space where the …

Multi-manifold discriminant Isomap for visualization and classification

B Yang, M Xiang, Y Zhang - Pattern Recognition, 2016 - Elsevier
Isomap aims to recover the intrinsic geometric structure of manifold by preserving geodesic
distances between all pairs of data points. However it is an unsupervised dimensionality …