Incremental Principal Component Analysis
Incremental Principal Component Analysis is a computational variant of principal component analysis that belongs to the class of online learning algorithms, distinguished by its ability to update the principal components incrementally as new data samples arrive, without reprocessing the entire dataset.
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4.6K
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276
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154
Institutions
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2017–2026
24
Variants
Ipca
Parents
89
Jimeng Sun, Dacheng Tao, Spiros Papadimitriou et al. · ACM Transactions on Knowledge Discovery from Data · 2008 · 256 citations
VIP: Vortex Image Processing Package for High-contrast Direct Imaging
Carlos Gómez González, O. Wertz, Olivier Absil et al. · The Astronomical Journal · 2017 · 203 citations · Full text
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154

Kobe University
Kobe, Japan
6 h-index
11 publications
332 citations
Seoul National University
Seoul, South Korea
3 h-index
8 publications
158 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
3 publications
294 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
395 citations

University of Ljubljana
Ljubljana, Slovenia
3 h-index
7 publications
836 citations
Auckland University of Technology
Auckland, New Zealand
3 h-index
6 publications
310 citations
University of Balamand
Tripoli, Lebanon
3 h-index
6 publications
296 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
2 h-index
4 publications
478 citations
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Repository · 3 publications · 161 citations
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3 publications · 380 citations
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3 publications · 142 citations
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TPAMI · 2 publications · 581 citations
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2 publications · 33 citations
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