LAUSR

Rank–sparsity balanced representation for subspace clustering

Sign Up to like & get
recommendations!
0 Published in 2018 at "Machine Vision and Applications"

DOI: 10.1007/s00138-018-0918-y

Abstract: Subspace learning has many applications such as motion segmentation and image recognition. The existing algorithms based on self-expressiveness of samples for subspace learning may suffer from the unsuitable balance between the rank and sparsity of… read more here.

Keywords: rank sparsity; representation; subspace; subspace clustering ... See more keywords