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Keith Dillon
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2020 – today
- 2020
- [c3]Keith Dillon:
Efficient Partitioning of Partial Correlation Networks. S+SSPR 2020: 174-183 - [i7]Keith Dillon:
Feature-level Malware Obfuscation in Deep Learning. CoRR abs/2002.05517 (2020) - [i6]Keith Dillon:
The Resolution Matrix for Visualizing Functional Network Connectivity. CoRR abs/2009.03187 (2020)
2010 – 2019
- 2019
- [i5]Keith Dillon:
On the Computation and Applications of Large Dense Partial Correlation Networks. CoRR abs/1903.07181 (2019) - [i4]Keith Dillon:
Clustering Gaussian Graphical Models. CoRR abs/1910.02342 (2019) - 2018
- [i3]Keith Dillon, Yu-Ping Wang:
Spectral Resolution Clustering for Brain Parcellation. CoRR abs/1810.04026 (2018) - 2017
- [j3]Keith Dillon, Yeshaiahu Fainman:
Element-wise uniqueness, prior knowledge, and data-dependent resolution. Signal Image Video Process. 11(1): 41-48 (2017) - 2016
- [j2]Keith Dillon, Yeshaiahu Fainman, Yu-Ping Wang:
Computational estimation of resolution in reconstruction techniques utilizing sparsity, total variation, and nonnegativity. J. Electronic Imaging 25(5): 053016 (2016) - [j1]Keith Dillon, Yu-Ping Wang:
Imposing uniqueness to achieve sparsity. Signal Process. 123: 1-8 (2016) - [c2]Keith Dillon, Yu-Ping Wang:
An image resolution perspective on functional activity mapping. EMBC 2016: 1139-1142 - [c1]Keith Dillon, Yu-Ping Wang:
On efficient meta-filtering of big data. EMBC 2016: 2958-2961 - 2014
- [b1]Keith Dillon:
Optimization in Computational Imaging and Inverse Problems /. University of California, San Diego, USA, 2014 - [i2]Keith Dillon, Yeshaiahu Fainman:
Imaging with Rays: Microscopy, Medical Imaging, and Computer Vision. CoRR abs/1402.2426 (2014) - 2013
- [i1]Keith Dillon, Yeshaiahu Fainman:
Element-wise uniqueness, sparsity, and resolution. CoRR abs/1312.7482 (2013)
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