Hard-thresholding Operator on A Covariance MatrixBinhuan Wang
值得注意的是,在文献【2】中将式(2.2)称为iterative hard-thresholding algorithm,而将式(3.2)称为M-sparse algorithm,在文献【1】中又将式(3.2)称为Iterative Hard Thresholding algorithm (IHTs),一般简称IHT的较多,多余的s指的是s稀疏。可见算法的名称是也是一不断完善的过程啊…… 8.2与GraDeS算法的关系 如果...
we study a simple hard-thresholding algorithm called \alg which, under mild conditions on $X$, can recover $\bto$ exactly even if $\b$ corrupts the response variables in an \emph{adversarial} manner, i.e. both the support and entries of $\b$ are selected adversarially after observing $...
迭代硬阈值算法IHT:Iterative Hard-Thresholding 前言 硬阈值函数 迭代硬阈值算法 参考 前言 最近在学习压缩感知的重构算法,重构算法整体来看分为三大类: ①贪婪迭代类算法:即MP和OMP及其改进算法。通过迭代选择原子的方式,进行逼近重构。 ②凸优化类算法:即BP(基追踪)和BPDN(基追踪降噪)。通过将原始的非凸问题转化为...
In this work, we study a simple hard-thresholding algorithm called TORRENT which, under mild conditions on X, can recover w* exactly even if b corrupts the response variables in an adversarial manner, i.e. both the support and entries of b are selected adversarially after observing X and w...
Our results rely on a general analysis framework that enables us to analyze several popular hard thresholding style algorithms (such as HTP, CoSaMP, SP) in the high dimensional regression setting. Finally, we extend our analysis to the problem of low-rank matrix reco...
Hard thresholding pursuit algorithms: number of iterations[ J]. Applied & Computational Harmonic Analysis, 2016, 41 (2) :412-435.J.-L. Bouchot, S. Foucart, and P. Hitczenko. Hard thresholding pursuit algorithms: Number of iterations. Appl. Comput. Harmon. Anal., 2016....
This test is to evaluate the performance of SCIHTBB(Algorithm 4) in low rank matrix completion problem., while the comparison is made with FPCA and SVT. Matlab code of FPCA is at www.columbia.edu/∼sm2756/FPCA.htm, and singular value thresholding (SVT) is at http://svt.caltech.edu...
Therefore, as a final step to all of the above analyses, we re-ran all group comparisons on the extracted clusters that survived whole brain thresholding (see above) with and without the inclusion of CAPS and BDI-2 scores as covariates. All post hoc analyses were corrected for multiple ...
3. The method of claim 1, wherein performing linear wave inversion includes: creating a reflectivity basis. 4. The method of claim 3, wherein the reflectivity basis is a discrete reflectivity basis. 5. The method of claim 3, wherein the reflectivity basis is represented as a matrix incl...