In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training se...
Compressive sampling (CS), or “Compressed Sensing,” has recently generated a tremendous amount of excitement in the image processing community. CS involves taking a relatively...
Given two binary linear codes R and C, their tensor product R C consists of all matrices with rows in R and columns in C. We analyze the "robustness" of the following te...
— Recently, it has been shown that the max flow capacity can be achieved in a multicast network using network coding. In this paper, we propose and analyze a more realistic mode...
Salah A. Aly, Vishal Kapoor, Jie Meng, Andreas Kla...
—We introduce a novel error correction scheme that uses the implicit encoding capability of Random Network Coding. This scheme does not add redundancy to the data prior to transm...