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- Kyoto UniversityJP16 papers
- The University of TokyoJP16 papers
- Tokyo Institute of TechnologyJP7 papers
- University of TsukubaJP6 papers
- National Institute of Advanced Industrial Science and TechnologyJP5 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE3 papers
- Institut polytechnique de GrenobleFR3 papers
- Japan Atomic Energy AgencyJP3 papers
- Kyoto College of Graduate Studies for InformaticsJP3 papers
- Kyushu UniversityJP3 papers
- Nara Institute of Science and TechnologyJP3 papers
Showing 2020 · stat.MLShow all
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stat.ML2020★ 2 cited
Screening Rules and its Complexity for Active Set Identification
Eugene Ndiaye, Olivier Fercoq, Joseph Salmon
Screening rules were recently introduced as a technique for explicitly identifying active structures such as sparsity, in optimization problem arising in machine learning. This has…
stat.ML2020
Modal Principal Component Analysis
Keishi Sando, Hideitsu Hino
Principal component analysis (PCA) is a widely used method for data processing, such as for dimension reduction and visualization. Standard PCA is known to be sensitive to outliers…