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Jacquelyn Shelton

Jacquelyn A. Shelton

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Person information

affiliation: Hong Kong Polytechnic University
affiliation (former): Technische Universität Berlin, Germany
affiliation (former): Goethe University Frankfurt, Frankfurt Institute for Advanced Studies

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Books and Theses

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2018
[b1]
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Jacquelyn A. Shelton:
Large-scale approximate EM-style learning and inference in generative graphical models for sparse coding. Technical University of Berlin, Germany, 2018

Journal Articles

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2017
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  - journals/neco/SheltonGDLG17
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Jacquelyn A. Shelton, Jan Gasthaus, Zhenwen Dai, Jörg Lücke, Arthur Gretton:
GP-Select: Accelerating EM Using Adaptive Subspace Preselection. Neural Comput. 29(8): 2177-2202 (2017)
2014
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  - journals/jmlr/SheikhSL14
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Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke:
A truncated EM approach for spike-and-slab sparse coding. J. Mach. Learn. Res. 15(1): 2653-2687 (2014)
2011
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Matthew B. Blaschko, Jacquelyn A. Shelton, Andreas M. Bartels, Christoph H. Lampert, Arthur Gretton:
Semi-supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognit. Lett. 32(11): 1572-1583 (2011)

Conference and Workshop Papers

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2020
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Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao:
U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery. CI 2020: 128-133
2012
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Jacquelyn A. Shelton, Philip Sterne, Jörg Bornschein, Abdul-Saboor Sheikh, Jörg Lücke:
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding. NIPS 2012: 2285-2293
2011
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Jacquelyn A. Shelton, Jörg Bornschein, Abdul-Saboor Sheikh, Pietro Berkes, Jörg Lücke:
Select and Sample - A Model of Efficient Neural Inference and Learning. NIPS 2011: 2618-2626
2009
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Matthew B. Blaschko, Jacquelyn A. Shelton, Andreas M. Bartels:
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity. NIPS 2009: 126-134

Informal and Other Publications

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2021
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Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao, Marco Heurich:
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors. CoRR abs/2105.01998 (2021)
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Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao:
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery. CoRR abs/2105.02406 (2021)
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  - journals/corr/abs-2112-02725
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Jacquelyn A. Shelton, Przemyslaw Polewski, Wei Yao, Marco Heurich:
A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery. CoRR abs/2112.02725 (2021)
2014
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Jacquelyn A. Shelton, Jan Gasthaus, Zhenwen Dai, Jörg Lücke, Arthur Gretton:
GP-select: Accelerating EM using adaptive subspace preselection. CoRR abs/1412.3411 (2014)

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