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 …

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 …

In this paper, we propose a new prototype-based discriminative feature learning (PDFL)
method for kinship verification. Unlike most previous kinship verification methods which …

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 …

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

In this work, we present a quantum neighborhood preserving embedding and a quantum
local discriminant embedding for dimensionality reduction and classification. We …

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 …

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 …

In recent years, person reidentification has received growing attention with the increasing
popularity of intelligent video surveillance. This is because person reidentification is critical …

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 …