We introduce a simple but effective technique in automatic hand gesture recognition using
radar. The proposed technique classifies hand gestures based on the envelopes of their …

Videos can be naturally represented as multidimensional arrays known as tensors.
However, the geometry of the tensor space is often ignored. In this paper, we argue that the …

As a branch of transfer learning, domain adaptation leverages useful knowledge from a
source domain to a target domain for solving target tasks. Most of the existing domain …

In computer vision applications, features often lie on Riemannian manifolds with known
geometry. Popular learning algorithms such as discriminant analysis, partial least squares …

Sketch-based image retrieval (SBIR) is challenging due to the inherent domain-gap
between sketch and photo. Compared with pixel-perfect depictions of photos, sketches are …

This paper describes the design of the Forensics Edge Management System (FEMS), a
system that autonomously provides security and forensic services within the home Internet of …

Sparsity-based representations have recently led to notable results in various visual
recognition tasks. In a separate line of research, Riemannian manifolds have been shown …

We present a novel technique for image set based face/object recognition, where each
gallery and query example contains a face/object image set captured from different …

Riemannian manifolds have been widely employed for video representations in visual
classification tasks including video-based face recognition. The success mainly derives from …

For cross-modal subspace clustering, the key point is how to exploit the correlation
information between cross-modal data. However, most hierarchical and structural correlation …