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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.

169,181 papers · 148 categories

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3 results for “OptShrink”

Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Videostat.ML

Novel algorithm for separating moving camera video into static and dynamic components.

problem Foreground-background separation in noisy, moving camera video.

method Augmented robust PCA with total variation regularization, OptShrink low-rank matrix estimator.

result Panoramic low-rank component spanning entire field of view, automatically stitching corrupted data.

Foreground-background separation Robust PCA Total variation regularization OptShrink Panoramic low-rank

2017-09-27abs ↗pdf ↗

OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkagemath.ST

The truncated singular value decomposition (SVD) of the measurement matrix is the optimal solution to the_representation_ problem of how to best approximate a noisy measurement matrix using a low-rank matrix. Here, we consider the (unobservable)_denoising_ problem of how to best approximate a low-rank signal matrix bur…

2013-06-25abs ↗pdf ↗

Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Videostat.ML

New method for separating foreground from background in noisy, moving camera video.

problem Foreground-background separation in noisy, free-moving camera video.

method Registers frames, encodes perspective as missing data, uses OptShrink for low-rank estimation, and weighted total variation for smooth foreground.

result Panoramic background component that stitches together corrupted data from overlapping frames.

Foreground-background separation Robust PCA Panoramic video Camera motion Sparse corruptions

2017-12-18abs ↗pdf ↗