We propose a sinogram restoration method which consists of a patch-wise non-linear processing, based on a sparsity prior in terms of a learned dictionary. An off-line learning pro...
Abstract. The development of critical systems requires a high assurance process from requirements to the running code. Formal methods, such as B, now provide industry-strength tool...
This paper addresses the problem of Through-the-Wall Radar Imaging (TWRI) using the Multiple-Measurement Vector (MMV) compressive sensing model. TWR image formation is reformulate...
Jie Yang, Abdesselam Bouzerdoum, Fok Hing Chi Tivi...
—We address the problem of modeling and adapting JPEG to the energy requirements of Visual Sensor Networks (VSN). For JPEG modeling purposes, we develop a simplified high-level ...
Abdelhamid Mammeri, Ahmed Khoumsi, Djemel Ziou, Br...
In deformable model segmentation, the geometric training process plays a crucial role in providing shape statistical priors and appearance statistics that are used as likelihoods. ...
Qiong Han, Derek Merck, Josh Levy, Christina Villa...