This paper presents a new approach for image set classification, where each training and
testing example contains a set of image instances of an object captured from varying …

With the rapid advances in digital imaging and communication technologies, recently image
set classification has attracted significant attention and has been widely used in many real …

This paper presents a new approach to image-set-based face recognition, where each
training and testing example is a set of face images captured from varying poses …

Image set classification has attracted much attention because of its broad applications.
Despite the success made so far, the problems of intra-class diversity and inter-class …

We propose a novel image set classification technique using linear regression models.
Downsampled gallery image sets are interpreted as subspaces of a high dimensional space …

In this paper, we propose a multi-manifold deep metric learning (MMDML) method for image
set classification, which aims to recognize an object of interest from a set of image instances …

Image-set classification has recently generated great popularity due to its widespread
applications in computer vision. The great challenges arise from effectively and efficiently …

Image set classification has drawn increasing attention and it has been widely applied to
many real-life domains. Due to the existence of multiple images in a set, which contain …

Statistical models have been widely adopted for image set classification owing to their
capacity in characterizing the data distribution more flexibly and faithfully. However, these …

The importance of wild video based image set recognition is monotonically increasing due
to the large amount of video data being collected by various devices including surveillance …