Search results
Enter terms
655 results found.
Section: Publications & Resources
Publication: IEEE Transactions on Computational Imaging
Sparsity and low-rank models have been popular for reconstructing images and videos from limited or corrupted measurements. Dictionary or transform learning methods are useful in applications such as denoising, inpainting, and medical image reconstruction.
Section: Publications & Resources
In this paper, an agile smart attacker model in spectrum sensing of cognitive radio network (CRN) is introduced. This smart attacker does not make the channel busy all the time, instead it senses spectrum and when a primary user leaves, it occupies the spectrum by mimicking the signal characteristics of the primary users.
Section: Publications & Resources
We consider a decentralized detection network whose aim is to infer a public hypothesis of interest. However, the raw sensor observations also allow the fusion center to infer private hypotheses that we wish to protect. We consider the case where there are an uncountable number of private hypotheses belonging to an uncertainty set, and develop local privacy mappings at every sensor so that the sanitized sensor information minimizes the Bayes error of detecting the public hypothesis at the fusion center while achieving information privacy for all private hypotheses.
Section: Publications & Resources
In this paper, we investigate beamforming design for cooperative secure transmission in cognitive two-way relay networks, where the cognitive transmitter (CT) with multiple antennas helps to forward the signals of two primary transmitters (PTs) and tries to protect the PTs from wiretapping by a single-antenna eavesdropper.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
The inverse synthetic aperture radar (ISAR) imaging technique of a moving target with sparse sampling data has attracted wide attention due to its ability to reduce the data collection burden. However, traditional low-rank or 2D compressive sensing (CS)-based ISAR imaging methods can handle the random sampling or the separable sampling data only.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Image semantic segmentation tasks and methods based on weakly supervised conditions have been proposed and achieve better and better performance in recent years. However, the purpose of these tasks is mainly to simplify the labeling work. In this paper, we establish a new and more challenging task condition.
Section: Publications & Resources
Rebates are approaching.....please be sure to close out your 2019 meetings in order to qualify for your Chapter rebate. The deadlines for Geo Units to submit the financials via NetSuite for the fiscal year of 2019...
Section: Publications & Resources
Each month, the Chapter Briefs Newsletter will feature an OU Analytics Tip that will be helpful to all who utilize the OU Analytics tool. This month's Tip features instructions on how chapter chairs can obtain data on arrears members (non-renewals) in their chapter, by society...
Section: Publications & Resources
Steganography is the art and science of hiding data within media while its counterpart, steganalysis, refers to all methods that aims at detecting media used to transmit hidden data. Those two form a cat-and-mouse game since steganography aims at modifying the media to remain as stealth as possible and steganalysis aims at fight back by improving detection accuracy. Most of the work in those fields are based on specific dataset and application in the “real world” of current state-of-the-art steganalysis techniques is hardly possible.
Issue Date:
Section: Community & Involvement
IEEE MMSP 2020, September 21-23, 2020, Tampere, Finland.
