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Shrinkage Function And Its Applications In Matrix Approximation

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arxiv 1601.07600 v3 pith:N7F7EAG7 submitted 2016-01-27 math.OC

classification math.OC
keywords functionshrinkageapproximationmatrixapplicationsadditionarticlecompressive
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The shrinkage function is widely used in matrix low-rank approximation, compressive sensing, and statistical estimation. In this article, an elementary derivation of the shrinkage function is given. In addition, applications of the shrinkage function are demonstrated in solving several well-known problems, together with a new result in matrix approximation.

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    cs.CV 2024-11 conditional novelty 6.0 of 10

    CASS achieves 44.4 average mIoU across eight open-vocabulary segmentation benchmarks by injecting DINO's low-rank spectral attention structure into CLIP and adjusting text embeddings with an object presence prior.

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