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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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1 result for “hyper-Laplacian”
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applicationscs.LG

New algorithms improve robust PCA for vision tasks with heavy-tailed distributions.

problem Challenging non-convex, non-smooth, non-Lipschitz problems in robust PCA.
method Bilinear factor matrix norm minimization models with double nuclear and hybrid norms.
result Our methods yield more accurate solutions than original Schatten quasi-norm minimization.
robust PCAmatrix norm minimizationSchatten quasi-normhyper-LaplacianFrobenius/nuclear hybrid norm
2018-10-11abs ↗pdf ↗