BriefGPT.xyz
Apr, 2015
使用平方和算法分解超完备的三阶张量
Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares Algorithms
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Rong Ge, Tengyu Ma
TL;DR
使用sum-of-squares层次结构的思想,我们提供了第一个几乎多项式时间复杂度的算法,可以在分解随机3阶张量时,将秩提高到$n^{3/2} / extrm{polylog} n$。我们还提出了一种检验低秩张量的injective norm的多项式时间复杂度算法,并证明了这个算法的正确性。
Abstract
tensor rank
and
low-rank tensor decompositions
have many applications in learning and complexity theory. Most known algorithms use unfoldings of tensors and can only handle rank up to $n^{\lfloor p/2 \rfloor}$ fo
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