LAUSR

Tuning-Free Heterogeneous Inference in Massive Networks

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0 Published in 2019 at "Journal of the American Statistical Association"

DOI: 10.1080/01621459.2018.1537920

Abstract: Abstract Heterogeneity is often natural in many contemporary applications involving massive data. While posing new challenges to effective learning, it can play a crucial role in powering meaningful scientific discoveries through the integration of information… read more here.

Keywords: heterogeneous inference; free heterogeneous; massive networks; tuning free ... See more keywords

Tuning-Free, Low Memory Robust Estimator to Mitigate GPS Spoofing Attacks

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1 Published in 2020 at "IEEE Control Systems Letters"

DOI: 10.1109/lcsys.2019.2922497

Abstract: The operation of critical infrastructures, such as the electrical power grid, cellphone towers, and financial institutions relies on precise timing provided by stationary global positioning system (GPS) receivers. These GPS devices are vulnerable to a… read more here.

Keywords: low memory; free low; memory robust; robust estimator ... See more keywords

Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors

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1 Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3253549

Abstract: Deconvolution is a widely used strategy to mitigate the blurring and noisy degradation of hyperspectral images (HSIs) generated by the acquisition devices. This issue is usually addressed by solving an ill-posed inverse problem. While investigating… read more here.

Keywords: free plug; deep priors; deconvolution; plug play ... See more keywords

Tuning-free and self-supervised image enhancement against ill exposure.

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2 Published in 2023 at "Optics express"

DOI: 10.1364/oe.484628

Abstract: Complex lighting conditions and the limited dynamic range of imaging devices result in captured images with ill exposure and information loss. Existing image enhancement methods based on histogram equalization, Retinex-inspired decomposition model, and deep learning… read more here.

Keywords: tuning free; self supervised; ill exposure; image enhancement ... See more keywords