97 citations · 184 across the 26 of their papers we have counts for
3 papers · 1 filter
Doubly Stochastic Subspace Clustering
Derek Lim, René Vidal, Benjamin D. Haeffele
Many state-of-the-art subspace clustering methods follow a two-step process by first constructing an affinity matrix between data points and then applying spectral clustering to th…
A novel variational form of the Schatten- quasi-norm
Paris Giampouras, René Vidal, Athanasios Rontogiannis +1
The Schatten- quasi-norm with has recently gained considerable attention in various low-rank matrix estimation problems offering significant benefits over relevant c…
A Critique of Self-Expressive Deep Subspace Clustering
Benjamin D. Haeffele, Chong You, René Vidal
Subspace clustering is an unsupervised clustering technique designed to cluster data that is supported on a union of linear subspaces, with each subspace defining a cluster with di…