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 …
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 …
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 …
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 …
A biometric authentication system is more convenient and secure than graphical or textual passwords when accessing information systems. Unfortunately, biometric authentication …
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 …
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 …
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 …
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 …