Results 241 to 250 of about 553,105 (269)
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Design of MMSE multiuser detectors using random matrix techniques
IEEE International Conference on Communications, 2003. ICC '03., 2004Reduced-rank MMSE receivers using asymptotic weights reduce receiver complexity while maintaining good performance in long-sequence DS-CDMA systems. In this paper, we analyze such receivers in multipath fading channels and extend their design to multicarrier CDMA (both uplink and downlink).
Li L., Tulino A. M., Verdu S.
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RANDOM ENSEMBLE OF LOCALLY OPTIMUM DETECTORS FOR DETECTION OF ADVERSARIAL EXAMPLES
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018Deep neural networks achieve state-of-the-art performance for several image classification problems but have been shown to be easily fooled by adversarial perturbations which slightly modify a legitimate image in a specific direction and are visually indistinguishable from the original.
Amish Goel, Pierre Moulin
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A Random-valued Impulse Noise Detector Using Level Detection
2005 IEEE International Symposium on Circuits and Systems, 2005We propose a new detector of random-valued impulse noise in images using level detection. In our method, we use directional windows in order to search a level region in the images. One window, whose variation is lowest, is selected as a flat window from multi directional windows.
Noritaka Yamashita +4 more
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On Reliability and Security of Randomized Detectors Against Sensitivity Analysis Attacks
IEEE Transactions on Information Forensics and Security, 2009Despite their popularity, spread spectrum schemes are vulnerable against sensitivity analysis attacks on standard deterministic watermark detectors. A possible defense is to use a randomized watermark detector. While randomization sacrifices some detection performance, it might be expected to improve detector security to some extent.
Maha El Choubassi, Pierre Moulin
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An efficient and computationally effective random valued impulse noise detector
2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013The paper proposes an efficient and computationally effective method for detecting random valued impulse noise of images, corrupted with high density. The method works in two stages of operation. The first stage of operation identifies the possible candidates for noisy pixels through the decision boundaries along with some prior knowledge. Second stage
Brijraj Singhawat, Saroj K. Meher
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Fall Detector with Random Classifier Optimization
Biomedical Engineering / Biomedizinische Technik, 2013M, Mend, W H, Kullmann
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A synfire chain in layered coincidence detectors with random synaptic delays
Neural Networks, 2003In this paper we analyze a synfire chain in a spiking neuron network. We also employ a coincidence-detector model showing the characteristics of temporal information processing more directly than the integrate-and-fire (I&F) model often discussed in the literature.
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Random clustering-based outlier detector
Information SciencesAdam Kiersztyn +4 more
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Partial Near-Duplicate Detection in Random Images by a Combination of Detectors
2013Detection of partial near-duplicates (e.g. similar objects) in random images continues to be a challenging problem. In particular, scalability of existing methods is limited because keypoint correspondences have to be confirmed by the configuration analysis for groups of matched keypoints.
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Dyslipidemia and Risk of Preeclampsia: A Multiancestry Mendelian Randomization Study
Hypertension, 2023Hillary Hosier +2 more
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