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» Quality and perceived usefulness of process models
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ICASSP
2011
IEEE
14 years 1 months ago
Sparsity-based Sinogram Denoising for low-dose Computed Tomography
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...
Joseph Shtok, Michael Elad, Michael Zibulevsky
CAISE
2006
Springer
15 years 1 months ago
From Requirements Models to Formal Specifications in B
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...
Christophe Ponsard, Emmanuel Dieul
ICASSP
2011
IEEE
14 years 1 months ago
Multiple-Measurement Vector model and its application to Through-the-Wall Radar Imaging
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...
ICCCN
2008
IEEE
15 years 4 months ago
Modeling and Adapting JPEG to the Energy Requirements of VSN
—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...
IPMI
2007
Springer
15 years 11 months ago
Geometrically Proper Models in Statistical Training
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...