21![Joint Statistics Seminar The Hong Kong University of Science and Technology Principal Component Analysis: Regularization, Supervision, Application, Asymptotics by Joint Statistics Seminar The Hong Kong University of Science and Technology Principal Component Analysis: Regularization, Supervision, Application, Asymptotics by](https://www.pdfsearch.io/img/cdb2d83df4e1c3859aecbb760dfff5e9.jpg) | Add to Reading ListSource URL: www.bm.ust.hkLanguage: English - Date: 2014-11-11 22:31:22
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22![Graduate Seminar Online Robust PCA or Online Sparse + Low-Rank Matrix Recovery Dr. Namrata Vaswani Associate Professor, Graduate Seminar Online Robust PCA or Online Sparse + Low-Rank Matrix Recovery Dr. Namrata Vaswani Associate Professor,](https://www.pdfsearch.io/img/e1b38161ca1afb1d28a4868ff66dd5e1.jpg) | Add to Reading ListSource URL: www.ece.cmu.eduLanguage: English - Date: 2015-02-25 02:10:41
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23![Informative Feature Selection for Object Recognition via Sparse PCA∗ Nikhil Naikal, Allen Y. Yang, and S. Shankar Sastry Department of EECS, University of California, Berkeley {nnaikal, yang, sastry}@eecs.berkeley.edu Informative Feature Selection for Object Recognition via Sparse PCA∗ Nikhil Naikal, Allen Y. Yang, and S. Shankar Sastry Department of EECS, University of California, Berkeley {nnaikal, yang, sastry}@eecs.berkeley.edu](https://www.pdfsearch.io/img/3cdaaf59e1eaaa85beb6e184614a1dbf.jpg) | Add to Reading ListSource URL: www.eecs.berkeley.eduLanguage: English - Date: 2011-06-10 12:51:40
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24![DO SEMIDEFINITE RELAXATIONS REALLY SOLVE SPARSE PCA? arXiv:1306.3690v1 [math.ST] 16 JunBy Robert Krauthgamer DO SEMIDEFINITE RELAXATIONS REALLY SOLVE SPARSE PCA? arXiv:1306.3690v1 [math.ST] 16 JunBy Robert Krauthgamer](https://www.pdfsearch.io/img/167d8a4af7504456e8af1b2dd6bde4fc.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2013-06-17 20:40:45
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25![The Annals of Statistics 2013, Vol. 41, No. 3, 1055–1084 DOI: AOS1014 © Institute of Mathematical Statistics, 2013 MINIMAX BOUNDS FOR SPARSE PCA WITH NOISY The Annals of Statistics 2013, Vol. 41, No. 3, 1055–1084 DOI: AOS1014 © Institute of Mathematical Statistics, 2013 MINIMAX BOUNDS FOR SPARSE PCA WITH NOISY](https://www.pdfsearch.io/img/4fd091d271488b01af9f2572bff6b03f.jpg) | Add to Reading ListSource URL: www.wisdom.weizmann.ac.ilLanguage: English - Date: 2013-06-16 05:23:55
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26![1 Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise Chenlu Qiu, Namrata Vaswani and Leslie Hogben 1 Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise Chenlu Qiu, Namrata Vaswani and Leslie Hogben](https://www.pdfsearch.io/img/aa036bed030f824ef20482707003b3a6.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2013-10-13 00:34:16
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27![Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA Vincent Q. Vu The Ohio State University [removed] Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA Vincent Q. Vu The Ohio State University [removed]](https://www.pdfsearch.io/img/06f3017c6fae1078cc4664b53472b910.jpg) | Add to Reading ListSource URL: papers.nips.ccLanguage: English - Date: 2014-11-25 16:30:06
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28![Sparse Regression as a Sparse Eigenvalue Problem Baback Moghaddam Jet Propulsion Laboratory California Institute of Technology [removed] Sparse Regression as a Sparse Eigenvalue Problem Baback Moghaddam Jet Propulsion Laboratory California Institute of Technology [removed]](https://www.pdfsearch.io/img/d7880afdce8bed0b851749629c52648f.jpg) | Add to Reading ListSource URL: ml.jpl.nasa.govLanguage: English - Date: 2008-01-09 21:34:49
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29![Sparse PCA: Concepts, Theory, and Algorithms Jing Lei, Department of Statistics, CMU U. Pitt. Biostat Department Seminar, Nov 7, 2013
Collaborators
Vince
Q.
Vu,
Stat.
Dept.
OSU
Sparse PCA: Concepts, Theory, and Algorithms Jing Lei, Department of Statistics, CMU U. Pitt. Biostat Department Seminar, Nov 7, 2013
Collaborators
Vince
Q.
Vu,
Stat.
Dept.
OSU](https://www.pdfsearch.io/img/4132ee8bac4fe3da3447ae6898a25c43.jpg) | Add to Reading ListSource URL: www.stat.cmu.eduLanguage: English - Date: 2014-01-10 12:18:09
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30![Fast Pixel/Part Selection with Sparse Eigenvectors Baback Moghaddam Jet Propulsion Laboratory California Institute of Technology Yair Weiss Fast Pixel/Part Selection with Sparse Eigenvectors Baback Moghaddam Jet Propulsion Laboratory California Institute of Technology Yair Weiss](https://www.pdfsearch.io/img/f0cde7973e7c8d81e73954e25ae1033e.jpg) | Add to Reading ListSource URL: ml.jpl.nasa.govLanguage: English - Date: 2007-11-02 17:25:11
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