component analysis
Nonparametric Evaluation of Noisy ICA Solutions
Independent Component Analysis (ICA) was introduced in the 1980's as a model
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ManifoldDenoisingbyNonlinearRobustPrincipal ComponentAnalysis
Theoretical error bounds are provided when the tangent spaces of the manifold satisfy certain incoherence conditions.
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Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features
Md Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora
Neural Information Processing Systems http://nips.cc/
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Representation Learning of Compositional Data
Marta Avalos, Richard Nock, Cheng Soon Ong, Julien Rouar, Ke Sun
Instead,compositional datamust be first transformed before analysis.
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- Research Report > Experimental Study (1.00)
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The Price of Privacy for Low-rank Factorization
Unfortunately,existing private algorithm forLRFdo not consider thesesettings (except incentral model when matrices are received row by row [24]).
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SupportRecoveryinSparsePCAwithIncomplete Data
Our algorithm is based on the semidefinite program (SDP) relaxation of the non-convexl1-regularized PCA problem.