Research on graph representation learning has received great attention in recent years
since most data in real-world applications come in the form of graphs. High-dimensional …

Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Human faces in surveillance videos often suffer from severe image blur, dramatic pose
variations, and occlusion. In this paper, we propose a comprehensive framework based on …

Adapting the classifier trained on a source domain to recognize instances from a new target
domain is an important problem that is receiving recent attention. In this paper, we present …

The target of this paper is to recommend a way for Automated classification of Fish species.
A high accuracy fish classification is required for greater understanding of fish behavior in …

Abstract The manifold of Symmetric Positive Definite (SPD) matrices has been successfully
used for data representation in image set classification. By endowing the SPD manifold with …

In video based face recognition, great success has been made by representing videos as
linear subspaces, which typically lie in a special type of non-Euclidean space known as …

In this paper, we develop an approach to exploiting kernel methods with manifold-valued
data. In many computer vision problems, the data can be naturally represented as points on …

In video based face recognition, face images are typically captured over multiple frames in
uncontrolled conditions, where head pose, illumination, shadowing, motion blur and focus …

Learning representations on Grassmann manifolds is popular in quite a few visual
recognition tasks. In order to enable deep learning on Grassmann manifolds, this paper …