Ningyu Sha

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All published works

Action	Title	Year	Authors
+ PDF Chat	Fast algorithms for robust principal component analysis with an upper bound on the rank	2020	Ningyu Sha Lei Shi Ming Yan
+	Manifold Denoising by Nonlinear Robust Principal Component Analysis.	2019	He Lyu Ningyu Sha Shuyang Qin Ming Yan Yuying Xie Rongrong Wang
+	Manifold Denoising by Nonlinear Robust Principal Component Analysis	2019	He Lyu Ningyu Sha Shuyang Qin Ming Yan Yuying Xie Rongrong Wang

Common Coauthors

Coauthor	Papers Together
Ming Yan	3
Shuyang Qin	2
Yuying Xie	2
He Lyu	2
Rongrong Wang	2
Lei Shi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	2
+	An Outlier Detection Method for Robust Manifold Learning	2013	Chun Du Jixiang Sun Shilin Zhou Jingjing Zhao	1
+ PDF Chat	A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography	2012	Oleg Kuybeda Gabriel A. Frank Alberto Bartesaghi Mario J. Borgnia Sriram Subramaniam Guillermo Sapiro	1
+ PDF Chat	Nearly unbiased variable selection under minimax concave penalty	2010	Cun‐Hui Zhang	1
+	A new Outlier detection algorithm based on Manifold Learning	2010	Zhigang Tang Jun Yang Bingru Yang	1
+ PDF Chat	Nonconvex Sorted $$\ell _1$$ ℓ 1 Minimization for Sparse Approximation	2015	Xiao Lin Huang Lei Shi Ming Yan	1
+ PDF Chat	Robust Recovery of Subspace Structures by Low-Rank Representation	2012	Guangcan Liu Zhouchen Lin Shuicheng Yan Ju Sun Yong Yu Yi Ma	1
+	Exact Reconstruction of Sparse Signals via Nonconvex Minimization	2007	Rick Chartrand	1
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	1
+ PDF Chat	Robust PCA With Partial Subspace Knowledge	2015	Jinchun Zhan Namrata Vaswani	1
+	Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations	2011	Min Tao Xiaoming Yuan	1
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	1
+	Robust principal component analysis for computer vision	2002	Fernando De la Torre M.J. Black	1
+	Wavelets on graphs via spectral graph theory	2010	David K. Hammond Pierre Vandergheynst Rémi Gribonval	1
+	Accelerated proximal gradient methods for nonconvex programming	2015	Huan Li Zhouchen Lin	1
+	Linear dimensionality reduction: survey, insights, and generalizations	2015	John P. Cunningham Zoubin Ghahramani	1
+	Tracing liquid level and material boundaries in transparent vessels using the graph cut computer vision approach	2016	Sagi Eppel	1
+	Using curvature to distinguish between surface reflections and vessel contents in computer vision based recognition of materials in transparent vessels.	2015	Sagi Eppel	1
+	High-Dimensional Probability: An Introduction with Applications in Data Science	2018	Roman Vershynin	1
+	An alternating minimization method for robust principal component analysis	2018	Yuan Shen Hongyu Xu Xin Liu	1
+	An Analysis of Classical Multidimensional Scaling	2018	Anna Little Yuying Xie Qiang Sun	1
+ PDF Chat	The Optimal Hard Threshold for Singular Values is <inline-formula> <tex-math notation="TeX">\(4/\sqrt {3}\) </tex-math></inline-formula>	2014	Matan Gavish David L. Donoho	1
+ PDF Chat	Fast L1–L2 Minimization via a Proximal Operator	2017	Yifei Lou Ming Yan	1
+	Large deviation inequalities for sums of indicator variables	2016	Svante Janson	1
+ PDF Chat	Global Convergence of Splitting Methods for Nonconvex Composite Optimization	2015	Guoyin Li Ting Kei Pong	1