23 citations · 129 across the 43 of their papers we have counts for
3 papers · 1 filter
A dual framework for low-rank tensor completion
Madhav Nimishakavi, Pratik Jawanpuria, Bamdev Mishra
One of the popular approaches for low-rank tensor completion is to use the latent trace norm regularization. However, most existing works in this direction learn a sparse combinati…
A Riemannian gossip approach to subspace learning on Grassmann manifold
Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria +1
In this paper, we focus on subspace learning problems on the Grassmann manifold. Interesting applications in this setting include low-rank matrix completion and low-dimensional mul…
Structured low-rank matrix learning: algorithms and applications
Pratik Jawanpuria, Bamdev Mishra
We consider the problem of learning a low-rank matrix, constrained to lie in a linear subspace, and introduce a novel factorization for modeling such matrices. A salient feature of…