A matching prior based on the modified profile likelihood for the common mean in multiple log-normal distributions
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DOI: 10.1007/s00362-017-0950-4
Abstract: In this paper, we develop a matching prior for the common mean in several log-normal distributions. For this problem, assigning priors appropriately for the common log-normal mean is challenging owing to the presence of nuisance… read more here.
Keywords: log normal; common mean; normal distributions; prior based ... See more keywords
SPIDE-Net: Spectral Prior-Based Image Dehazing and Enhancement Network
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DOI: 10.1109/access.2022.3221992
Abstract: During hazy or foggy conditions, the acquired images are degraded and resulting in reduced visibility, contrast and color fidelity. This image degradation occurs due to atmospheric particles that attenuates and scatters the source radiations. The… read more here.
Keywords: network; spide net; based image; prior based ... See more keywords
Deep Prior-Based Unsupervised Reconstruction of Irregularly Sampled Seismic Data
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DOI: 10.1109/lgrs.2020.3044455
Abstract: Irregularity and coarse spatial sampling of seismic data strongly affect the performances of processing and imaging algorithms. Therefore, interpolation is a usual preprocessing step in most of the processing workflows. In this work, we propose… read more here.
Keywords: deep prior; prior based; based unsupervised; reconstruction irregularly ... See more keywords
FedPTA: Prior-Based Tensor Approximation for Detecting Malicious Clients in Federated Learning
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DOI: 10.1109/tifs.2024.3451359
Abstract: Federated learning (FL) is vulnerable to poisoning attacks, where malicious clients tamper their model parameters to deteriorate the global model. Existing methods for defending against poisoning attacks primarily rely on identifying malicious clients, but struggle… read more here.
Keywords: fedpta prior; tensor; malicious clients; based tensor ... See more keywords