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Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum.

Published on May 1, 2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
· DOI :10.1109/icassp.2019.8682551
Jayaraman J. Thiagarajan10
Estimated H-index: 10
(LLNL: Lawrence Livermore National Laboratory),
Rushil Anirudh5
Estimated H-index: 5
(LLNL: Lawrence Livermore National Laboratory)
+ 1 AuthorsPeer-Timo Bremer27
Estimated H-index: 27
(LLNL: Lawrence Livermore National Laboratory)
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Nov 11, 2016 in SIGGRAPH (International Conference on Computer Graphics and Interactive Techniques)
#1Bhavya Kailkhura (LLNL: Lawrence Livermore National Laboratory)H-Index: 10
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Apr 1, 2015 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Hamid Dadkhahi (UMass: University of Massachusetts Amherst)H-Index: 3
#2Marco F. Duarte (UMass: University of Massachusetts Amherst)H-Index: 34
#1Daniel Heck (University of Konstanz)H-Index: 2
#2Thomas Schlömer (University of Konstanz)H-Index: 6
Last.Oliver Deussen (University of Konstanz)H-Index: 35
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#1Aliaksei Sandryhaila (CMU: Carnegie Mellon University)H-Index: 15
#2José M. F. Moura (CMU: Carnegie Mellon University)H-Index: 54
#1Zheng Zhao (SAS: SAS Institute)H-Index: 19
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Jun 20, 2007 in ICML (International Conference on Machine Learning)
#1Zheng Zhao (ASU: Arizona State University)H-Index: 19
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