44 citations · 130 across the 28 of their papers we have counts for
4 papers · 1 filter
Filtrated Spectral Algebraic Subspace Clustering
Manolis C. Tsakiris, Rene Vidal
Algebraic Subspace Clustering (ASC) is a simple and elegant method based on polynomial fitting and differentiation for clustering noiseless data drawn from an arbitrary union of su…
Dual Principal Component Pursuit
Manolis C. Tsakiris, Rene Vidal
We consider the problem of learning a linear subspace from data corrupted by outliers. Classical approaches are typically designed for the case in which the subspace dimension is s…
Algebraic Clustering of Affine Subspaces
Manolis C. Tsakiris, Rene Vidal
Subspace clustering is an important problem in machine learning with many applications in computer vision and pattern recognition. Prior work has studied this problem using algebra…
Filtrated Algebraic Subspace Clustering
Manolis C. Tsakiris, Rene Vidal
Subspace clustering is the problem of clustering data that lie close to a union of linear subspaces. In the abstract form of the problem, where no noise or other corruptions are pr…