2 citations · 3 across the 2 of their papers we have counts for
4 papers
Multidimensional Scaling of Noisy High Dimensional Data
Erez Peterfreund, Matan Gavish
Multidimensional Scaling (MDS) is a classical technique for embedding data in low dimensions, still in widespread use today. Originally introduced in the 1950's, MDS was not design…
Frame Moments and Welch Bound with Erasures
Marina Haikin, Ram Zamir, Matan Gavish
The Welch Bound is a lower bound on the root mean square cross correlation between unit-norm vectors in the dimensional space ( or $\mathbb{C}…
Optimal Shrinkage of Singular Values Under Random Data Contamination
Danny Barash, Matan Gavish
A low rank matrix X has been contaminated by uniformly distributed noise, missing values, outliers and corrupt entries. Reconstruction of X from the singular values and singular ve…
ReFACTor: Practical Low-Rank Matrix Estimation Under Column-Sparsity
Matan Gavish, Regev Schweiger, Elior Rahmani +1
Various problems in data analysis and statistical genetics call for recovery of a column-sparse, low-rank matrix from noisy observations. We propose ReFACTor, a simple variation of…