Artificial Intelligence (AI) has advanced material research that were previously intractable,
for example, the machine learning (ML) has been able to predict some unprecedented …

We develop a view-normalization approach to multi-view face and gait recognition. An
image-based visual hull (IBVH) is computed from a set of monocular views and used to …

This paper addresses the problem of learning overcomplete dictionaries for the coupled
feature spaces, where the learned dictionaries also reflect the relationship between the two …

In this paper, a novel technique to speed-up a non-local means (NLM) filter is proposed. In
the original NLM filter, most of its computational time is spent on finding distances for all the …

In this paper, an approach to protecting virtual machines (VMs) against denial of service
(DoS) attacks in a cloud environment is proposed. An open source cloud computing platform …

Image-based sketch-to-photo synthesis has received intense attention in recent years
because of its potential applications in digital entertainment and law enforcement. In order to …

Sparse coding (SC) has recently become a widely used tool in signal and image processing.
The sparse linear combination of elements from an appropriately chosen over‐complete …

Sparse representation of images using learned dictionaries have been shown to work well
for applications like image denoising, impainting, image compression, etc. In this paper …

Local coordinate coding has recently been introduced to learning visual feature dictionary
and achieved top level performance for object recognition. However, the computational …

This paper addresses the problem of generating the super resolution (SR) image from a
single low resolution input image. Image patches can be represented as a sparse linear …