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pro vyhledávání: '"Gilton, Davis"'
Autor:
Pfeiffer III, Joseph J., Charles, Denis, Gilton, Davis, Jung, Young Hun, Parsana, Mehul, Anderson, Erik
Today, many web advertising data flows involve passive cross-site tracking of users. Enabling such a mechanism through the usage of third party tracking cookies (3PC) exposes sensitive user data to a large number of parties, with little oversight on
Externí odkaz:
http://arxiv.org/abs/2110.14794
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing, 2021
Advanced satellite-born remote sensing instruments produce high-resolution multi-spectral data for much of the globe at a daily cadence. These datasets open up the possibility of improved understanding of cloud dynamics and feedback, which remain the
Externí odkaz:
http://arxiv.org/abs/2103.04885
Recent efforts on solving inverse problems in imaging via deep neural networks use architectures inspired by a fixed number of iterations of an optimization method. The number of iterations is typically quite small due to difficulties in training net
Externí odkaz:
http://arxiv.org/abs/2102.07944
Deep neural networks have been applied successfully to a wide variety of inverse problems arising in computational imaging. These networks are typically trained using a forward model that describes the measurement process to be inverted, which is oft
Externí odkaz:
http://arxiv.org/abs/2012.00139
This paper presents a framework for the analysis of changes in visual streams: ordered sequences of images, possibly separated by significant time gaps. We propose a new approach to incorporating unlabeled data into training to generate natural langu
Externí odkaz:
http://arxiv.org/abs/2003.12633
Many challenging image processing tasks can be described by an ill-posed linear inverse problem: deblurring, deconvolution, inpainting, compressed sensing, and superresolution all lie in this framework. Traditional inverse problem solvers minimize a
Externí odkaz:
http://arxiv.org/abs/1901.03707
Autor:
Pfeiffer, Joseph J., Charles, Denis, Gilton, Davis, Jung, Young Hun, Parsana, Mehul, Anderson, Erik
Today, many web advertising data flows involve passive cross-site tracking of users. Enabling such a mechanism through the usage of third party tracking cookies (3PC) exposes sensitive user data to a large number of parties, with little oversight on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a1bcf826d3e64f4de280a041db40b7e
http://arxiv.org/abs/2110.14794
http://arxiv.org/abs/2110.14794
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Akademický článek
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Publikováno v:
IEEE Transactions on Geoscience & Remote Sensing; Jan2022, Vol. 60 Issue 1, p1-25, 25p
