Jacquelyn Shelton

According to our database, Jacquelyn Shelton authored at least 11 papers between 2009 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery.

Jacquelyn A. Shelton, Przemyslaw Polewski, Wei Yao, Marco Heurich

CoRR, 2021

In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery.

Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao

CoRR, 2021

Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors.

Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao, Marco Heurich

CoRR, 2021

2020

U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery.

Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao

Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

2018

Large-scale approximate EM-style learning and inference in generative graphical models for sparse coding.

Jacquelyn A. Shelton

PhD thesis, 2018

2017

GP-Select: Accelerating EM Using Adaptive Subspace Preselection.

Jacquelyn A. Shelton, Jan Gasthaus, Zhenwen Dai, Jörg Lücke, Arthur Gretton

Neural Comput., 2017

2014

A truncated EM approach for spike-and-slab sparse coding.

Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke

J. Mach. Learn. Res., 2014

2012

Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding.

Jacquelyn A. Shelton, Philip Sterne, Jörg Bornschein, Abdul-Saboor Sheikh, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Semi-supervised kernel canonical correlation analysis with application to human fMRI.

Matthew B. Blaschko, Jacquelyn A. Shelton, Andreas M. Bartels, Christoph H. Lampert, Arthur Gretton

Pattern Recognit. Lett., 2011

Select and Sample - A Model of Efficient Neural Inference and Learning.

Jacquelyn A. Shelton, Jörg Bornschein, Abdul-Saboor Sheikh, Pietro Berkes, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009

Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity.

Matthew B. Blaschko, Jacquelyn A. Shelton, Andreas M. Bartels

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009