10 citations · 21 across the 9 of their papers we have counts for
4 papers · 1 filter
Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms
Zhihui Zhu, Yifan Wang, Daniel P. Robinson +3
Recent methods for learning a linear subspace from data corrupted by outliers are based on convex and nuclear norm optimization and require the dimension of the subspace a…
Determinantal conditions for homomorphic sensing
Manolis C. Tsakiris
With an infinite field and endomorphisms of , we provide a dimension bound on an open locus of a determinantal scheme, under which, for a general subspace $V \su…
An algebraic-geometric approach for linear regression without correspondences
Manolis C. Tsakiris, Liangzu Peng, Aldo Conca +3
Linear regression without correspondences is the problem of performing a linear regression fit to a dataset for which the correspondences between the independent samples and the ob…
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
Manolis C. Tsakiris, Rene Vidal
Sparse Subspace Clustering (SSC) is a popular unsupervised machine learning method for clustering data lying close to an unknown union of low-dimensional linear subspaces; a proble…