We address the problem of face recognition from image sets, where subject-specific
subspaces instead of image vectors are compared. Previous methods based on …

Multi-view data has two basic characteristics: consensus property and complementary
property, in which complementary information refers to all view-specific information. Inspired …

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 …

Retrieving videos of a specific person given his/her face image as query becomes more and
more appealing for applications like smart movie fast-forwards and suspect searching. It also …

Efficient and accurate representation of a collection of images, that belong to the same class,
is a major research challenge for practical image set classification. Existing methods either …

This paper proposes the pairwise linear regression classification (PLRC) for image set
retrieval. In PLRC, we first define a new concept of the unrelated subspace and introduce …

Predicting future values of Quality of Service (QoS) attributes can assist in the control of
software intensive systems by preventing QoS violations before they happen. Currently …

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 …

Kernel canonical correlation analysis (KCCA) is a nonlinear multi-view representation
learning technique with broad applicability in statistics and machine learning. Although there …

As an important part of expert and intelligent systems, image set classification has been
widely applied to many real-life scenarios including surveillance videos, multi-view camera …