The world we see is ever-changing and it always changes with people, things, and the
environment. Domain is referred to as the state of the world at a certain moment. A research …

In this paper, we study two challenging problems in incomplete multi-view clustering
analysis, namely, i) how to learn an informative and consistent representation among …

In this article, we propose a unified framework to solve the following two challenging
problems in incomplete multi-view representation learning: i) how to learn a consistent …

Traditional person re-identification (re-id) methods perform poorly under changing
illuminations. This situation can be addressed by using dual-cameras that capture visible …

In this paper, we study one challenging issue in multi-view data clustering. To be specific, for
two data matrices $\mathbf {X}^{(1)} $ and $\mathbf {X}^{(2)} $ corresponding to two views …

Person re-identification has been widely studied due to its importance in surveillance and
forensics applications. In practice, gallery images are high-resolution (HR) while probe …

Despite the promising progress made in recent years, person re-identification remains a
challenging task due to complex variations in human appearances from different camera …

Human eyes can recognize person identities based on small salient regions, ie, person
saliency is distinctive and reliable in pedestrian matching across disjoint camera views …

In this work we propose a new architecture for person re-identification. As the task of re-
identification is inherently associated with embedding learning and non-rigid appearance …

This paper presents the first semi-supervised transductive algorithm for real-time articulated
hand pose estimation. Noisy data and occlusions are the major challenges of articulated …