In this paper, we examine image and video-based recognition applications where the
underlying models have a special structure-the linear subspace structure. We discuss how …

A convenient way of dealing with image sets is to represent them as points on
Grassmannian manifolds. While several recent studies explored the applicability of …

Classification based on image sets has recently attracted great research interest as it holds
more promise than single image based classification. In this paper, we propose an efficient …

Multiset canonical correlation analysis (MCCA) is difficult to effectively express the
integrated correlation among multiple feature vectors in feature fusion. Thus, this paper firstly …

Cameras are ubiquitous everywhere and hold the promise of significantly changing the way
we live and interact with our environment. Human activity recognition is central to …

This paper presents an incremental learning solution for Linear Discriminant Analysis (LDA)
and its applications to object recognition problems. We apply the sufficient spanning set …

Increasingly, machines are interacting with people through human action recognition from
video streams. Video data can naturally be represented as a third-order data tensor …

Although automatic faces recognition has shown success for high-quality images under
controlled conditions, for video-based recognition it is hard to attain similar levels of …

This study presents a novel kernel discriminant transformation (KDT) algorithm for face
recognition based on image sets. As each image set is represented by a kernel subspace …

Canonical correlation has been prevalent for multiset-based pairwise subspace analysis. As
an extension, discriminant canonical correlations (DCCs) have been developed for …