Image set classification finds its applications in a number of real-life scenarios such as
classification from surveillance videos, multi-view camera networks and personal albums …

In this paper, we propose a simultaneous feature and dictionary learning (SFDL) method for
image set-based face recognition, where each training and testing example contains a set of …

In many real-world face recognition scenarios, face images can hardly be aligned accurately
due to complex appearance variations or low-quality images. To address this issue, we …

This paper presents a method named Discriminant Analysis on Riemannian manifold of
Gaussian distributions (DARG) to solve the problem of face recognition with image sets. Our …

Hyperspectral imaging offers new opportunities for face recognition via improved
discrimination along the spectral dimension. However, it poses new challenges, including …

Face recognition with still face images has been widely studied, while the research on video-
based face recognition is inadequate relatively, especially in terms of benchmark datasets …

In this paper we present cluster canonical correlation analysis (cluster-CCA) for joint
dimensionality reduction of two sets of data points. Unlike the standard pairwise …

Super-resolution reconstruction of face image is the problem of reconstructing a high
resolution face image from one or more low resolution face images. Assuming that high and …

Cross-project defect prediction (CPDP) refers to predicting defects in a target project using
prediction models trained from historical data of other source projects. And CPDP in the …

We propose an efficient and robust solution for image set classification. A joint
representation of an image set is proposed which includes the image samples of the set and …